{
 "generated_at": "2026-10-17",
 "source": "research/gpus.json",
 "conventions": [
  "Numeric null means unknown, never zero. Every numeric performance/memory/power field has a sources object. Source status official_spec is a vendor theoretical specification, not a measurement.",
  "memory_gb preserves the vendor nominal GB capacity label. No exact usable-byte count or GPU allocation limit is inferred. Unified memory is shared with the OS/CPU and is not all available to a model.",
  "bandwidth_gbs means physical memory interface bandwidth in decimal GB/s. AMD effective-cache bandwidth is excluded. Derived bandwidth carries formula and sourced operands.",
  "NVIDIA fp16_tflops is dense tensor throughput with FP32 accumulation. fp16_acc16_tflops is separately stored where explicit. Sparse throughput and AI TOPS are never substituted for dense FP16.",
  "AMD fp16_tflops is its explicitly named dense FP16 Matrix row. fp16_vector_tflops and structured-sparse FP16 are separate. AMD does not specify accumulation precision in these rows, so it is not a perfectly normalized cross-vendor metric.",
  "Intel INT8 dense AI TOPS are not FP16. Explicit comparable FP16 throughput was not verified; it remains unknown.",
  "tdp_w retains the vendor power metric named in tdp_kind: total graphics/board power, max board power, or CPU+GPU package/platform TDP. These are not measured LLM energy usage.",
  "Apple power-adapter wattage, maximum continuous system power, and Neural Engine TOPS are not GPU TDP or GPU FP16. Both requested Apple fields remain unknown.",
  "Apple capacities are expanded only within explicit chip/GPU-bin device options. Device lists are representative verified configurations, not an exhaustive catalog of every chassis. Read notes for conditional/historical/inferred-independent choices."
 ],
 "research_counts": {
  "total": 163,
  "by_vendor": {
   "NVIDIA": 41,
   "AMD": 19,
   "Intel": 11,
   "Apple": 92
  },
  "apple_bin_groups": 40
 },
 "excluded_or_unresolved": [
  {
   "item": "Apple M6 and A18 Pro",
   "reason": "Outside the requested M1–M5 scope, despite appearing in old data. M5 Pro Mac mini source shares a page with M6; only M5 Pro is included."
  },
  {
   "item": "Apple M4 Ultra",
   "reason": "No authoritative M4 Ultra chip/device technical specification verified. A deployment-guide search result appears to use this label; that is insufficient to invent a configuration."
  },
  {
   "item": "M5 Ultra 80-core GPU + 96GB; 64-core GPU + 256GB",
   "reason": "Exact pairing not established consistently by reviewed specification sections; leave unexpanded pending configurator/device evidence."
  },
  {
   "item": "NVIDIA RTX 50 SUPER / Intel consumer B770 / AMD AI PRO R9800",
   "reason": "No vendor product specification verified in current lineups; do not add rumored SKUs."
  },
  {
   "item": "Mobile/laptop discrete GPUs, modified VRAM cards, multi-GPU totals, full workstation SKU catalog",
   "reason": "This handoff covers desktop consumer/prosumer reference specifications plus selected high-memory workstations and unified-memory systems. These require separate exact board/device evidence."
  }
 ],
 "hardware": [
  {
   "slug": "rtx-5050",
   "name": "NVIDIA GeForce RTX 5050",
   "short_name": "RTX 5050",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 50 series",
   "architecture": "Blackwell",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 8,
   "memory_type": "GDDR6",
   "bandwidth_gbs": 320,
   "bandwidth_derived": false,
   "fp16_tflops": null,
   "fp16_tflops_kind": null,
   "tdp_w": 130,
   "tdp_kind": "Total Graphics Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5050/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5050/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/compare/",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "Not in the RTX Blackwell whitepaper; only '421 AI TOPS' published."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5050/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-5060",
   "name": "NVIDIA GeForce RTX 5060",
   "short_name": "RTX 5060",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 50 series",
   "architecture": "Blackwell",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 8,
   "memory_type": "GDDR7",
   "bandwidth_gbs": 448,
   "bandwidth_derived": false,
   "fp16_tflops": null,
   "fp16_tflops_kind": null,
   "tdp_w": 145,
   "tdp_kind": "Total Graphics Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5060-family/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5060-family/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/compare/",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "Not in the RTX Blackwell whitepaper; only '614 AI TOPS' published."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5060-family/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-5060-ti-16gb",
   "name": "NVIDIA GeForce RTX 5060 Ti (16 GB)",
   "short_name": "RTX 5060 Ti (16 GB)",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 50 series",
   "architecture": "Blackwell",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 16,
   "memory_type": "GDDR7",
   "bandwidth_gbs": 448,
   "bandwidth_derived": false,
   "fp16_tflops": null,
   "fp16_tflops_kind": null,
   "tdp_w": 180,
   "tdp_kind": "Total Graphics Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5060-family/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5060-family/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/compare/",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "Not in the RTX Blackwell whitepaper; only '759 AI TOPS' published."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5060-family/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-5070",
   "name": "NVIDIA GeForce RTX 5070",
   "short_name": "RTX 5070",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 50 series",
   "architecture": "Blackwell",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 12,
   "memory_type": "GDDR7",
   "bandwidth_gbs": 672,
   "bandwidth_derived": false,
   "fp16_tflops": 61.7,
   "fp16_tflops_kind": "Peak FP16 Tensor TFLOPS with FP32 Accumulate (dense)",
   "tdp_w": 250,
   "tdp_kind": "Total Graphics Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5070-family/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5070-family/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.nvidia.com/en-us/geforce/news/rtx-50-series-graphics-cards-gpu-laptop-announcements/",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/blackwell/nvidia-rtx-blackwell-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/blackwell/nvidia-rtx-blackwell-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5070-family/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-5070-ti",
   "name": "NVIDIA GeForce RTX 5070 Ti",
   "short_name": "RTX 5070 Ti",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 50 series",
   "architecture": "Blackwell",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 16,
   "memory_type": "GDDR7",
   "bandwidth_gbs": 896,
   "bandwidth_derived": false,
   "fp16_tflops": 87.9,
   "fp16_tflops_kind": "Peak FP16 Tensor TFLOPS with FP32 Accumulate (dense)",
   "tdp_w": 300,
   "tdp_kind": "Total Graphics Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5070-family/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5070-family/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.nvidia.com/en-us/geforce/news/rtx-50-series-graphics-cards-gpu-laptop-announcements/",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/blackwell/nvidia-rtx-blackwell-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/blackwell/nvidia-rtx-blackwell-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5070-family/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-5080",
   "name": "NVIDIA GeForce RTX 5080",
   "short_name": "RTX 5080",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 50 series",
   "architecture": "Blackwell",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 16,
   "memory_type": "GDDR7",
   "bandwidth_gbs": 960,
   "bandwidth_derived": false,
   "fp16_tflops": 112.6,
   "fp16_tflops_kind": "Peak FP16 Tensor TFLOPS with FP32 Accumulate (dense)",
   "tdp_w": 360,
   "tdp_kind": "Total Graphics Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5080/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5080/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.nvidia.com/en-us/geforce/news/rtx-50-series-graphics-cards-gpu-laptop-announcements/",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/blackwell/nvidia-rtx-blackwell-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/blackwell/nvidia-rtx-blackwell-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5080/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-5090",
   "name": "NVIDIA GeForce RTX 5090",
   "short_name": "RTX 5090",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 50 series",
   "architecture": "Blackwell",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 32,
   "memory_type": "GDDR7",
   "bandwidth_gbs": 1792,
   "bandwidth_derived": false,
   "fp16_tflops": 209.5,
   "fp16_tflops_kind": "Peak FP16 Tensor TFLOPS with FP32 Accumulate (dense)",
   "tdp_w": 575,
   "tdp_kind": "Total Graphics Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5090/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5090/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.nvidia.com/en-us/geforce/news/rtx-50-series-graphics-cards-gpu-laptop-announcements/",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/blackwell/nvidia-rtx-blackwell-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/blackwell/nvidia-rtx-blackwell-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5090/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-4060",
   "name": "NVIDIA GeForce RTX 4060",
   "short_name": "RTX 4060",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 40 series",
   "architecture": "Ada Lovelace",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 8,
   "memory_type": "GDDR6",
   "bandwidth_gbs": null,
   "bandwidth_derived": false,
   "fp16_tflops": null,
   "fp16_tflops_kind": null,
   "tdp_w": 115,
   "tdp_kind": "Total Graphics Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4060-4060ti/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4060-4060ti/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": null,
     "status": "unknown",
     "reason": "No official NVIDIA statement of RTX 4060 bandwidth or memory data rate found (product page, launch article, press release, VRAM article checked)."
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "AD107 not in any NVIDIA whitepaper; only '242 AI TOPS' published."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4060-4060ti/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-4060-ti-8gb",
   "name": "NVIDIA GeForce RTX 4060 Ti (8 GB)",
   "short_name": "RTX 4060 Ti (8 GB)",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 40 series",
   "architecture": "Ada Lovelace",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 8,
   "memory_type": "GDDR6",
   "bandwidth_gbs": 288,
   "bandwidth_derived": false,
   "fp16_tflops": null,
   "fp16_tflops_kind": null,
   "tdp_w": 160,
   "tdp_kind": "Total Graphics Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4060-4060ti/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4060-4060ti/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.nvidia.com/en-us/geforce/news/rtx-40-series-vram-video-memory-explained/",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "AD106 is not in any NVIDIA whitepaper; product page gives only '353 AI TOPS' (stored as ai_tops)."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4060-4060ti/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-4060-ti-16gb",
   "name": "NVIDIA GeForce RTX 4060 Ti (16 GB)",
   "short_name": "RTX 4060 Ti (16 GB)",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 40 series",
   "architecture": "Ada Lovelace",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 16,
   "memory_type": "GDDR6",
   "bandwidth_gbs": 288,
   "bandwidth_derived": false,
   "fp16_tflops": null,
   "fp16_tflops_kind": null,
   "tdp_w": 165,
   "tdp_kind": "Total Graphics Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4060-4060ti/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4060-4060ti/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.nvidia.com/en-us/geforce/news/rtx-40-series-vram-video-memory-explained/",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "AD106 is not in any NVIDIA whitepaper; product page gives only '353 AI TOPS' (stored as ai_tops)."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4060-4060ti/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-4070",
   "name": "NVIDIA GeForce RTX 4070 (GDDR6X)",
   "short_name": "RTX 4070 (GDDR6X)",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 40 series",
   "architecture": "Ada Lovelace",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 12,
   "memory_type": "GDDR6X",
   "bandwidth_gbs": 504,
   "bandwidth_derived": false,
   "fp16_tflops": 58.3,
   "fp16_tflops_kind": "Peak FP16 Tensor TFLOPS with FP32 Accumulate (dense)",
   "tdp_w": 200,
   "tdp_kind": "Total Graphics Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4070-family/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4070-family/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.nvidia.com/en-us/geforce/news/rtx-50-series-graphics-cards-gpu-laptop-announcements/",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/blackwell/nvidia-rtx-blackwell-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/blackwell/nvidia-rtx-blackwell-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4070-family/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-4070-super",
   "name": "NVIDIA GeForce RTX 4070 SUPER",
   "short_name": "RTX 4070 SUPER",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 40 series",
   "architecture": "Ada Lovelace",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 12,
   "memory_type": "GDDR6X",
   "bandwidth_gbs": null,
   "bandwidth_derived": false,
   "fp16_tflops": null,
   "fp16_tflops_kind": null,
   "tdp_w": 220,
   "tdp_kind": "Total Graphics Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4070-family/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4070-family/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": null,
     "status": "unknown",
     "reason": "No official NVIDIA statement of RTX 4070 SUPER bandwidth or memory data rate found (product page, compare page, SUPER article, SUPER press release checked)."
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "Not in any NVIDIA whitepaper; only '568 AI TOPS' published."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4070-family/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-4070-ti",
   "name": "NVIDIA GeForce RTX 4070 Ti",
   "short_name": "RTX 4070 Ti",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 40 series",
   "architecture": "Ada Lovelace",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 12,
   "memory_type": "GDDR6X",
   "bandwidth_gbs": 504,
   "bandwidth_derived": false,
   "fp16_tflops": 80.2,
   "fp16_tflops_kind": "Peak FP16 Tensor TFLOPS with FP32 Accumulate (dense)",
   "tdp_w": 285,
   "tdp_kind": "Total Graphics Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4070-family/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4070-family/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.nvidia.com/en-us/geforce/news/rtx-50-series-graphics-cards-gpu-laptop-announcements/",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/blackwell/nvidia-rtx-blackwell-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/blackwell/nvidia-rtx-blackwell-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4070-family/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-4070-ti-super",
   "name": "NVIDIA GeForce RTX 4070 Ti SUPER",
   "short_name": "RTX 4070 Ti SUPER",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 40 series",
   "architecture": "Ada Lovelace",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 16,
   "memory_type": "GDDR6X",
   "bandwidth_gbs": 672,
   "bandwidth_derived": false,
   "fp16_tflops": null,
   "fp16_tflops_kind": null,
   "tdp_w": 285,
   "tdp_kind": "Total Graphics Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4070-family/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4070-family/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://nvidianews.nvidia.com/news/geforce-rtx-40-super-series",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "Not in any NVIDIA whitepaper; only '706 AI TOPS' published."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4070-family/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-4080",
   "name": "NVIDIA GeForce RTX 4080",
   "short_name": "RTX 4080",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 40 series",
   "architecture": "Ada Lovelace",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 16,
   "memory_type": "GDDR6X",
   "bandwidth_gbs": 716.8,
   "bandwidth_derived": false,
   "fp16_tflops": 97.5,
   "fp16_tflops_kind": "Peak FP16 Tensor TFLOPS with FP32 Accumulate (dense)",
   "tdp_w": 320,
   "tdp_kind": "Total Graphics Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4080-family/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4080-family/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/ada/nvidia-ada-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/ada/nvidia-ada-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/ada/nvidia-ada-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4080-family/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-4080-super",
   "name": "NVIDIA GeForce RTX 4080 SUPER",
   "short_name": "RTX 4080 SUPER",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 40 series",
   "architecture": "Ada Lovelace",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 16,
   "memory_type": "GDDR6X",
   "bandwidth_gbs": 736,
   "bandwidth_derived": true,
   "fp16_tflops": null,
   "fp16_tflops_kind": null,
   "tdp_w": 320,
   "tdp_kind": "Total Graphics Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4080-family/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4080-family/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.nvidia.com/en-us/geforce/news/geforce-rtx-4080-4070-ti-4070-super-gpu/",
     "status": "derived"
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "Not in any NVIDIA whitepaper; only '836 AI TOPS' published."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4080-family/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-4090",
   "name": "NVIDIA GeForce RTX 4090",
   "short_name": "RTX 4090",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 40 series",
   "architecture": "Ada Lovelace",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 24,
   "memory_type": "GDDR6X",
   "bandwidth_gbs": 1008,
   "bandwidth_derived": false,
   "fp16_tflops": 165.2,
   "fp16_tflops_kind": "Peak FP16 Tensor TFLOPS with FP32 Accumulate (dense)",
   "tdp_w": 450,
   "tdp_kind": "Total Graphics Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4090/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4090/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/ada/nvidia-ada-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/ada/nvidia-ada-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/ada/nvidia-ada-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4090/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-3060-12gb",
   "name": "NVIDIA GeForce RTX 3060 (12 GB)",
   "short_name": "RTX 3060 (12 GB)",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 30 series",
   "architecture": "Ampere",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 12,
   "memory_type": "GDDR6",
   "bandwidth_gbs": 360,
   "bandwidth_derived": false,
   "fp16_tflops": null,
   "fp16_tflops_kind": null,
   "tdp_w": 170,
   "tdp_kind": "Graphics Card Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3060-3060ti/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3060-3060ti/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.nvidia.com/en-us/geforce/news/game-on-you-asked-we-answered-qa/",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No NVIDIA whitepaper/datasheet publishes dense FP16 tensor TFLOPS for the RTX 3060 (GA106); only an unlabeled '101 tensor-TFLOPs' marketing figure exists."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "The launch tensor-TFLOPs figure does not explicitly specify precision, accumulation or sparsity; excluded."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3060-3060ti/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-3060-ti",
   "name": "NVIDIA GeForce RTX 3060 Ti",
   "short_name": "RTX 3060 Ti",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 30 series",
   "architecture": "Ampere",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 8,
   "memory_type": "GDDR6",
   "bandwidth_gbs": null,
   "bandwidth_derived": false,
   "fp16_tflops": null,
   "fp16_tflops_kind": null,
   "tdp_w": 200,
   "tdp_kind": "Graphics Card Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3060-3060ti/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3060-3060ti/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": null,
     "status": "unknown",
     "reason": "No official NVIDIA statement of RTX 3060 Ti bandwidth/data rate found (product page, launch article, press release checked)."
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "GA104 RTX 3060 Ti is not in any NVIDIA whitepaper."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3060-3060ti/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-3070",
   "name": "NVIDIA GeForce RTX 3070",
   "short_name": "RTX 3070",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 30 series",
   "architecture": "Ampere",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 8,
   "memory_type": "GDDR6",
   "bandwidth_gbs": 448,
   "bandwidth_derived": false,
   "fp16_tflops": 40.6,
   "fp16_tflops_kind": "Peak FP16 Tensor TFLOPS with FP32 Accumulate (dense)",
   "tdp_w": 220,
   "tdp_kind": "Graphics Card Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3070-3070ti/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3070-3070ti/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.nvidia.com/content/PDF/nvidia-ampere-ga-102-gpu-architecture-whitepaper-v2.pdf",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": "https://www.nvidia.com/content/PDF/nvidia-ampere-ga-102-gpu-architecture-whitepaper-v2.pdf",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": "https://www.nvidia.com/content/PDF/nvidia-ampere-ga-102-gpu-architecture-whitepaper-v2.pdf",
     "status": "official_spec"
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3070-3070ti/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-3080-10gb",
   "name": "NVIDIA GeForce RTX 3080 (10 GB)",
   "short_name": "RTX 3080 (10 GB)",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 30 series",
   "architecture": "Ampere",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 10,
   "memory_type": "GDDR6X",
   "bandwidth_gbs": 760,
   "bandwidth_derived": false,
   "fp16_tflops": 59.5,
   "fp16_tflops_kind": "Peak FP16 Tensor TFLOPS with FP32 Accumulate (dense)",
   "tdp_w": 320,
   "tdp_kind": "Graphics Card Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3080-3080ti/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3080-3080ti/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.nvidia.com/content/PDF/nvidia-ampere-ga-102-gpu-architecture-whitepaper-v2.pdf",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": "https://www.nvidia.com/content/PDF/nvidia-ampere-ga-102-gpu-architecture-whitepaper-v2.pdf",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": "https://www.nvidia.com/content/PDF/nvidia-ampere-ga-102-gpu-architecture-whitepaper-v2.pdf",
     "status": "official_spec"
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3080-3080ti/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-3080-12gb",
   "name": "NVIDIA GeForce RTX 3080 (12 GB)",
   "short_name": "RTX 3080 (12 GB)",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 30 series",
   "architecture": "Ampere",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 12,
   "memory_type": "GDDR6X",
   "bandwidth_gbs": null,
   "bandwidth_derived": false,
   "fp16_tflops": null,
   "fp16_tflops_kind": null,
   "tdp_w": 350,
   "tdp_kind": "Graphics Card Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3080-3080ti/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3080-3080ti/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": null,
     "status": "unknown",
     "reason": "No official NVIDIA page states the 3080 12GB bandwidth or memory data rate (product page has bus width only), so it cannot be derived either."
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "Not in any NVIDIA whitepaper; product page has no tensor figures."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3080-3080ti/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-3090",
   "name": "NVIDIA GeForce RTX 3090",
   "short_name": "RTX 3090",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 30 series",
   "architecture": "Ampere",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 24,
   "memory_type": "GDDR6X",
   "bandwidth_gbs": 936,
   "bandwidth_derived": false,
   "fp16_tflops": 71,
   "fp16_tflops_kind": "Peak FP16 Tensor TFLOPS with FP32 Accumulate (dense)",
   "tdp_w": 350,
   "tdp_kind": "Graphics Card Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3090-3090ti/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3090-3090ti/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.nvidia.com/content/PDF/nvidia-ampere-ga-102-gpu-architecture-whitepaper-v2.pdf",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": "https://www.nvidia.com/content/PDF/nvidia-ampere-ga-102-gpu-architecture-whitepaper-v2.pdf",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": "https://www.nvidia.com/content/PDF/nvidia-ampere-ga-102-gpu-architecture-whitepaper-v2.pdf",
     "status": "official_spec"
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3090-3090ti/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-3090-ti",
   "name": "NVIDIA GeForce RTX 3090 Ti",
   "short_name": "RTX 3090 Ti",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 30 series",
   "architecture": "Ampere",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 24,
   "memory_type": "GDDR6X",
   "bandwidth_gbs": 1008,
   "bandwidth_derived": false,
   "fp16_tflops": 80,
   "fp16_tflops_kind": "Peak FP16 Tensor TFLOPS with FP32 Accumulate (dense)",
   "tdp_w": 450,
   "tdp_kind": "Graphics Card Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3090-3090ti/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3090-3090ti/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/ada/nvidia-ada-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/ada/nvidia-ada-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/ada/nvidia-ada-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3090-3090ti/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-6000-ada",
   "name": "NVIDIA RTX 6000 Ada Generation",
   "short_name": "RTX 6000 Ada Generation",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "workstation",
   "group": "NVIDIA workstation",
   "architecture": "Ada Lovelace",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 48,
   "memory_type": "GDDR6",
   "bandwidth_gbs": 960,
   "bandwidth_derived": false,
   "fp16_tflops": 364.2,
   "fp16_tflops_kind": "Peak FP16 Tensor TFLOPS with FP32 Accumulate (dense)",
   "tdp_w": 300,
   "tdp_kind": "Max Power Consumption",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/products/workstations/rtx-6000/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/content/dam/en-zz/Solutions/design-visualization/rtx-6000/proviz-print-rtx6000-datasheet-web-2504660.pdf",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.nvidia.com/content/dam/en-zz/Solutions/design-visualization/rtx-6000/proviz-print-rtx6000-datasheet-web-2504660.pdf",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": "https://images.nvidia.com/aem-dam/en-zz/Solutions/technologies/NVIDIA-ADA-GPU-PROVIZ-Architecture-Whitepaper_1.1.pdf",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": "https://images.nvidia.com/aem-dam/en-zz/Solutions/technologies/NVIDIA-ADA-GPU-PROVIZ-Architecture-Whitepaper_1.1.pdf",
     "status": "official_spec"
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/products/workstations/rtx-6000/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-a6000",
   "name": "NVIDIA RTX A6000",
   "short_name": "RTX A6000",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "workstation",
   "group": "NVIDIA workstation",
   "architecture": "Ampere",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 48,
   "memory_type": "GDDR6",
   "bandwidth_gbs": 768,
   "bandwidth_derived": false,
   "fp16_tflops": 154.8,
   "fp16_tflops_kind": "Peak FP16 Tensor TFLOPS with FP32 Accumulate (dense)",
   "tdp_w": 300,
   "tdp_kind": "Max Power Consumption",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/products/workstations/rtx-a6000/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/content/dam/en-zz/Solutions/products/workstations/nvidia-rtx-a6000-datasheet.pdf",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.nvidia.com/content/dam/en-zz/Solutions/products/workstations/nvidia-rtx-a6000-datasheet.pdf",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": "https://www.nvidia.com/content/PDF/nvidia-ampere-ga-102-gpu-architecture-whitepaper-v2.pdf",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": "https://www.nvidia.com/content/PDF/nvidia-ampere-ga-102-gpu-architecture-whitepaper-v2.pdf",
     "status": "official_spec"
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/products/workstations/rtx-a6000/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-pro-6000-blackwell",
   "name": "NVIDIA RTX PRO 6000 Blackwell Workstation Edition",
   "short_name": "RTX PRO 6000 Blackwell Workstation Edition",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "workstation",
   "group": "NVIDIA workstation",
   "architecture": "Blackwell",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 96,
   "memory_type": "GDDR7",
   "bandwidth_gbs": 1792,
   "bandwidth_derived": false,
   "fp16_tflops": 503.8,
   "fp16_tflops_kind": "Peak FP16 Tensor TFLOPS with FP32 Accumulate (dense)",
   "tdp_w": 600,
   "tdp_kind": "Max Power Consumption",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/products/workstations/professional-desktop-gpus/rtx-pro-6000/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/content/dam/en-zz/Solutions/data-center/rtx-pro-6000-blackwell-workstation-edition/workstation-blackwell-rtx-pro-6000-workstation-edition-nvidia-us-3519208-web.pdf",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.nvidia.com/en-us/products/workstations/professional-desktop-gpus/rtx-pro-6000/",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": "https://www.nvidia.com/content/dam/en-zz/Solutions/design-visualization/quadro-product-literature/NVIDIA-RTX-Blackwell-PRO-GPU-Architecture-v1.0.pdf",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": "https://www.nvidia.com/content/dam/en-zz/Solutions/design-visualization/quadro-product-literature/NVIDIA-RTX-Blackwell-PRO-GPU-Architecture-v1.0.pdf",
     "status": "official_spec"
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/products/workstations/professional-desktop-gpus/rtx-pro-6000/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rx-7800-xt",
   "name": "AMD Radeon RX 7800 XT",
   "short_name": "Radeon RX 7800 XT",
   "vendor": "AMD",
   "kind": "gpu",
   "segment": "consumer",
   "group": "AMD Radeon",
   "architecture": "RDNA 3",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 16,
   "memory_type": "GDDR6",
   "bandwidth_gbs": 624,
   "bandwidth_derived": false,
   "fp16_tflops": 74.6,
   "fp16_tflops_kind": "Peak Half Precision (FP16 Matrix) Performance (dense)",
   "tdp_w": 263,
   "tdp_kind": "Typical Board Power (Desktop)",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/7000-series/amd-radeon-rx-7800-xt.html",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/7000-series/amd-radeon-rx-7800-xt.html",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/7000-series/amd-radeon-rx-7800-xt.html",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/7000-series/amd-radeon-rx-7800-xt.html",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_vector_tflops": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/7000-series/amd-radeon-rx-7800-xt.html",
     "status": "official_spec"
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/7000-series/amd-radeon-rx-7800-xt.html",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rx-7900-xt",
   "name": "AMD Radeon RX 7900 XT",
   "short_name": "Radeon RX 7900 XT",
   "vendor": "AMD",
   "kind": "gpu",
   "segment": "consumer",
   "group": "AMD Radeon",
   "architecture": "RDNA 3",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 20,
   "memory_type": "GDDR6",
   "bandwidth_gbs": 800,
   "bandwidth_derived": false,
   "fp16_tflops": 103,
   "fp16_tflops_kind": "Peak Half Precision (FP16 Matrix) Performance (dense)",
   "tdp_w": 315,
   "tdp_kind": "Typical Board Power (Desktop)",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/7000-series/amd-radeon-rx-7900xt.html",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.amd.com/en/newsroom/press-releases/2022-11-3-amd-unveils-world-s-most-advanced-gaming-graphics-.html",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/7000-series/amd-radeon-rx-7900xt.html",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/7000-series/amd-radeon-rx-7900xt.html",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_vector_tflops": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/7000-series/amd-radeon-rx-7900xt.html",
     "status": "official_spec"
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/7000-series/amd-radeon-rx-7900xt.html",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rx-7900-xtx",
   "name": "AMD Radeon RX 7900 XTX",
   "short_name": "Radeon RX 7900 XTX",
   "vendor": "AMD",
   "kind": "gpu",
   "segment": "consumer",
   "group": "AMD Radeon",
   "architecture": "RDNA 3",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 24,
   "memory_type": "GDDR6",
   "bandwidth_gbs": 960,
   "bandwidth_derived": false,
   "fp16_tflops": 123,
   "fp16_tflops_kind": "Peak Half Precision (FP16 Matrix) Performance (dense)",
   "tdp_w": 355,
   "tdp_kind": "Typical Board Power (Desktop)",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/7000-series/amd-radeon-rx-7900xtx.html",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.amd.com/en/newsroom/press-releases/2022-11-3-amd-unveils-world-s-most-advanced-gaming-graphics-.html",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/7000-series/amd-radeon-rx-7900xtx.html",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/7000-series/amd-radeon-rx-7900xtx.html",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_vector_tflops": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/7000-series/amd-radeon-rx-7900xtx.html",
     "status": "official_spec"
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/7000-series/amd-radeon-rx-7900xtx.html",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rx-9060-xt-16gb",
   "name": "AMD Radeon RX 9060 XT (16 GB)",
   "short_name": "Radeon RX 9060 XT (16 GB)",
   "vendor": "AMD",
   "kind": "gpu",
   "segment": "consumer",
   "group": "AMD Radeon",
   "architecture": "RDNA 4",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 16,
   "memory_type": "GDDR6",
   "bandwidth_gbs": 320,
   "bandwidth_derived": false,
   "fp16_tflops": 103,
   "fp16_tflops_kind": "Peak Half Precision (FP16 Matrix) Performance (dense)",
   "tdp_w": 160,
   "tdp_kind": "Typical Board Power (Desktop)",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9060xt.html",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9060xt.html",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9060xt.html",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9060xt.html",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_vector_tflops": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9060xt.html",
     "status": "official_spec"
    },
    "fp16_tflops_sparse": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9060xt.html",
     "status": "official_spec"
    },
    "tdp_w": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9060xt.html",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rx-9070",
   "name": "AMD Radeon RX 9070",
   "short_name": "Radeon RX 9070",
   "vendor": "AMD",
   "kind": "gpu",
   "segment": "consumer",
   "group": "AMD Radeon",
   "architecture": "RDNA 4",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 16,
   "memory_type": "GDDR6",
   "bandwidth_gbs": 640,
   "bandwidth_derived": false,
   "fp16_tflops": 145,
   "fp16_tflops_kind": "Peak Half Precision (FP16 Matrix) Performance (dense)",
   "tdp_w": 220,
   "tdp_kind": "Typical Board Power (Desktop)",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9070.html",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9070.html",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9070.html",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9070.html",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_vector_tflops": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9070.html",
     "status": "official_spec"
    },
    "fp16_tflops_sparse": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9070.html",
     "status": "official_spec"
    },
    "tdp_w": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9070.html",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rx-9070-xt",
   "name": "AMD Radeon RX 9070 XT",
   "short_name": "Radeon RX 9070 XT",
   "vendor": "AMD",
   "kind": "gpu",
   "segment": "consumer",
   "group": "AMD Radeon",
   "architecture": "RDNA 4",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 16,
   "memory_type": "GDDR6",
   "bandwidth_gbs": 640,
   "bandwidth_derived": false,
   "fp16_tflops": 195,
   "fp16_tflops_kind": "Peak Half Precision (FP16 Matrix) Performance (dense)",
   "tdp_w": 304,
   "tdp_kind": "Typical Board Power (Desktop)",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9070xt.html",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9070xt.html",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9070xt.html",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9070xt.html",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_vector_tflops": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9070xt.html",
     "status": "official_spec"
    },
    "fp16_tflops_sparse": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9070xt.html",
     "status": "official_spec"
    },
    "tdp_w": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9070xt.html",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "radeon-ai-pro-r9700",
   "name": "AMD Radeon AI PRO R9700",
   "short_name": "Radeon AI PRO R9700",
   "vendor": "AMD",
   "kind": "gpu",
   "segment": "workstation",
   "group": "AMD Radeon Pro / AI",
   "architecture": "RDNA 4",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 32,
   "memory_type": "GDDR6",
   "bandwidth_gbs": 640,
   "bandwidth_derived": false,
   "fp16_tflops": 191,
   "fp16_tflops_kind": "Peak Half Precision (FP16 Matrix) Performance (dense)",
   "tdp_w": 300,
   "tdp_kind": "Total Board Power (TBP)",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.amd.com/en/products/graphics/workstations/radeon-ai-pro/ai-9000-series/amd-radeon-ai-pro-r9700.html",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.amd.com/en/products/graphics/workstations/radeon-ai-pro/ai-9000-series/amd-radeon-ai-pro-r9700.html",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.amd.com/en/products/graphics/workstations/radeon-ai-pro/ai-9000-series/amd-radeon-ai-pro-r9700.html",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": "https://www.amd.com/en/products/graphics/workstations/radeon-ai-pro/ai-9000-series/amd-radeon-ai-pro-r9700.html",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_vector_tflops": {
     "url": "https://www.amd.com/en/products/graphics/workstations/radeon-ai-pro/ai-9000-series/amd-radeon-ai-pro-r9700.html",
     "status": "official_spec"
    },
    "fp16_tflops_sparse": {
     "url": "https://www.amd.com/en/products/graphics/workstations/radeon-ai-pro/ai-9000-series/amd-radeon-ai-pro-r9700.html",
     "status": "official_spec"
    },
    "tdp_w": {
     "url": "https://www.amd.com/en/products/graphics/workstations/radeon-ai-pro/ai-9000-series/amd-radeon-ai-pro-r9700.html",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "radeon-pro-w7900",
   "name": "AMD Radeon PRO W7900",
   "short_name": "Radeon PRO W7900",
   "vendor": "AMD",
   "kind": "gpu",
   "segment": "workstation",
   "group": "AMD Radeon Pro / AI",
   "architecture": "RDNA 3",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 48,
   "memory_type": "GDDR6",
   "bandwidth_gbs": 864,
   "bandwidth_derived": false,
   "fp16_tflops": 123,
   "fp16_tflops_kind": "Peak Half Precision (FP16 Matrix) Performance (dense)",
   "tdp_w": 295,
   "tdp_kind": "Total Board Power (TBP)",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.amd.com/en/products/graphics/workstations/radeon-pro/w7900.html",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.amd.com/en/products/graphics/workstations/radeon-pro/w7900.html",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.amd.com/en/products/graphics/workstations/radeon-pro/w7900.html",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": "https://www.amd.com/en/products/graphics/workstations/radeon-pro/w7900.html",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_vector_tflops": {
     "url": "https://www.amd.com/en/products/graphics/workstations/radeon-pro/w7900.html",
     "status": "official_spec"
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.amd.com/en/products/graphics/workstations/radeon-pro/w7900.html",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "dgx-spark",
   "name": "NVIDIA DGX Spark (128 GB)",
   "short_name": "DGX Spark (128 GB)",
   "vendor": "NVIDIA",
   "kind": "unified",
   "segment": "unified",
   "group": "Unified-memory PCs",
   "architecture": "Grace Blackwell",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 128,
   "memory_type": "LPDDR5X",
   "bandwidth_gbs": 273,
   "bandwidth_derived": false,
   "fp16_tflops": null,
   "fp16_tflops_kind": null,
   "tdp_w": 140,
   "tdp_kind": "GB10 TDP (Thermal Design Power of the GB10 chip, including CPU and GPU)",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/products/workstations/dgx-spark/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/products/workstations/dgx-spark/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.nvidia.com/en-us/products/workstations/dgx-spark/",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "NVIDIA publishes only 'Up to 1 PFLOP FP4' for GB10; no FP16 (dense or sparse) figure on the product page."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/products/workstations/dgx-spark/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "ryzen-ai-max-395-128gb",
   "name": "AMD Ryzen AI Max+ 395 (128 GB, Radeon 8060S)",
   "short_name": "Ryzen AI Max+ 395 (128 GB, Radeon 8060S)",
   "vendor": "AMD",
   "kind": "unified",
   "segment": "unified",
   "group": "Unified-memory PCs",
   "architecture": "RDNA 3.5",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 128,
   "memory_type": "LPDDR5X",
   "bandwidth_gbs": 256,
   "bandwidth_derived": false,
   "fp16_tflops": 60,
   "fp16_tflops_kind": "FP16 AI Compute ('Up to'; AMD does not state GPU-only or dense/sparse)",
   "tdp_w": 120,
   "tdp_kind": "TDP (AMD Ryzen AI Halo 128 GB platform spec)",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.amd.com/en/products/processors/desktops/ryzen/ryzen-ai-halo/ryzen-ai-max-plus-395.html",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.amd.com/en/products/processors/laptop/ryzen/ai-300-series/amd-ryzen-ai-max-plus-395.html",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.amd.com/en/products/processors/desktops/ryzen/ryzen-ai-halo/ryzen-ai-max-plus-395.html",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": "https://www.amd.com/en/products/processors/desktops/ryzen/ryzen-ai-halo/ryzen-ai-max-plus-395.html",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in the reviewed sources."
    },
    "tdp_w": {
     "url": "https://www.amd.com/en/products/processors/desktops/ryzen/ryzen-ai-halo/ryzen-ai-max-plus-395.html",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-3050-6gb",
   "name": "NVIDIA GeForce RTX 3050 (6 GB)",
   "short_name": "RTX 3050 (6 GB)",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 30 series",
   "architecture": "Ampere",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 6,
   "memory_type": "GDDR6",
   "bandwidth_gbs": null,
   "bandwidth_derived": false,
   "fp16_tflops": null,
   "fp16_tflops_kind": null,
   "tdp_w": 70,
   "tdp_kind": "Graphics Card Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3050/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3050/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3050/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-3050-8gb",
   "name": "NVIDIA GeForce RTX 3050 (8 GB)",
   "short_name": "RTX 3050 (8 GB)",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 30 series",
   "architecture": "Ampere",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 8,
   "memory_type": "GDDR6",
   "bandwidth_gbs": null,
   "bandwidth_derived": false,
   "fp16_tflops": null,
   "fp16_tflops_kind": null,
   "tdp_w": 130,
   "tdp_kind": "Graphics Card Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3050/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3050/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3050/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-3060-8gb",
   "name": "NVIDIA GeForce RTX 3060 (8 GB)",
   "short_name": "RTX 3060 (8 GB)",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 30 series",
   "architecture": "Ampere",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 8,
   "memory_type": "GDDR6",
   "bandwidth_gbs": null,
   "bandwidth_derived": false,
   "fp16_tflops": null,
   "fp16_tflops_kind": null,
   "tdp_w": 170,
   "tdp_kind": "Graphics Card Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3060-3060ti/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3060-3060ti/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3060-3060ti/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-3070-ti",
   "name": "NVIDIA GeForce RTX 3070 Ti",
   "short_name": "RTX 3070 Ti",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 30 series",
   "architecture": "Ampere",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 8,
   "memory_type": "GDDR6X",
   "bandwidth_gbs": 608,
   "bandwidth_derived": false,
   "fp16_tflops": 43.5,
   "fp16_tflops_kind": "Peak FP16 Tensor TFLOPS with FP32 Accumulate (dense)",
   "tdp_w": 290,
   "tdp_kind": "Total Graphics Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/blackwell/nvidia-rtx-blackwell-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/blackwell/nvidia-rtx-blackwell-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/blackwell/nvidia-rtx-blackwell-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/blackwell/nvidia-rtx-blackwell-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/blackwell/nvidia-rtx-blackwell-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "tdp_w": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/blackwell/nvidia-rtx-blackwell-gpu-architecture.pdf",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-3080-ti",
   "name": "NVIDIA GeForce RTX 3080 Ti",
   "short_name": "RTX 3080 Ti",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 30 series",
   "architecture": "Ampere",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 12,
   "memory_type": "GDDR6X",
   "bandwidth_gbs": 912,
   "bandwidth_derived": false,
   "fp16_tflops": 68.2,
   "fp16_tflops_kind": "Peak FP16 Tensor TFLOPS with FP32 Accumulate (dense)",
   "tdp_w": 350,
   "tdp_kind": "Total Graphics Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/ada/nvidia-ada-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/ada/nvidia-ada-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/ada/nvidia-ada-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/ada/nvidia-ada-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/ada/nvidia-ada-gpu-architecture.pdf",
     "status": "official_spec"
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "tdp_w": {
     "url": "https://images.nvidia.com/aem-dam/Solutions/geforce/ada/nvidia-ada-gpu-architecture.pdf",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-5060-ti-8gb",
   "name": "NVIDIA GeForce RTX 5060 Ti (8 GB)",
   "short_name": "RTX 5060 Ti (8 GB)",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 50 series",
   "architecture": "Blackwell",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 8,
   "memory_type": "GDDR7",
   "bandwidth_gbs": 448,
   "bandwidth_derived": false,
   "fp16_tflops": null,
   "fp16_tflops_kind": null,
   "tdp_w": 180,
   "tdp_kind": "Total Graphics Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5060-family/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5060-family/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/compare/",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5060-family/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-4070-gddr6",
   "name": "NVIDIA GeForce RTX 4070 (GDDR6)",
   "short_name": "RTX 4070 (GDDR6)",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "consumer",
   "group": "GeForce RTX 40 series",
   "architecture": "Ada Lovelace",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 12,
   "memory_type": "GDDR6",
   "bandwidth_gbs": null,
   "bandwidth_derived": false,
   "fp16_tflops": null,
   "fp16_tflops_kind": null,
   "tdp_w": 200,
   "tdp_kind": "Total Graphics Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4070-family/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4070-family/",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "Original whitepaper specifies the GDDR6X card; no separate precision-qualified throughput figure for the later GDDR6 variant was verified."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4070-family/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-pro-5000-48gb-blackwell",
   "name": "NVIDIA RTX PRO 5000 Blackwell",
   "short_name": "RTX PRO 5000 Blackwell",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "workstation",
   "group": "NVIDIA workstation",
   "architecture": "Blackwell",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 48,
   "memory_type": "GDDR7",
   "bandwidth_gbs": 1344,
   "bandwidth_derived": false,
   "fp16_tflops": null,
   "fp16_tflops_kind": null,
   "tdp_w": 300,
   "tdp_kind": "Max Power Consumption",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/products/workstations/professional-desktop-gpus/rtx-pro-5000/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "bandwidth_gbs": {
     "url": "https://www.nvidia.com/en-us/products/workstations/professional-desktop-gpus/rtx-pro-5000/",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/products/workstations/professional-desktop-gpus/rtx-pro-5000/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-pro-5000-72gb-blackwell",
   "name": "NVIDIA RTX PRO 5000 72GB Blackwell",
   "short_name": "RTX PRO 5000 72GB Blackwell",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "workstation",
   "group": "NVIDIA workstation",
   "architecture": "Blackwell",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 72,
   "memory_type": "GDDR7",
   "bandwidth_gbs": 1344,
   "bandwidth_derived": false,
   "fp16_tflops": null,
   "fp16_tflops_kind": null,
   "tdp_w": 300,
   "tdp_kind": "Max Power Consumption",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/products/workstations/professional-desktop-gpus/rtx-pro-5000/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "bandwidth_gbs": {
     "url": "https://www.nvidia.com/en-us/products/workstations/professional-desktop-gpus/rtx-pro-5000/",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/products/workstations/professional-desktop-gpus/rtx-pro-5000/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-pro-4500-blackwell",
   "name": "NVIDIA RTX PRO 4500 Blackwell",
   "short_name": "RTX PRO 4500 Blackwell",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "workstation",
   "group": "NVIDIA workstation",
   "architecture": "Blackwell",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 32,
   "memory_type": "GDDR7",
   "bandwidth_gbs": 896,
   "bandwidth_derived": false,
   "fp16_tflops": null,
   "fp16_tflops_kind": null,
   "tdp_w": 200,
   "tdp_kind": "Max Power Consumption",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/products/workstations/professional-desktop-gpus/rtx-pro-4500/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "bandwidth_gbs": {
     "url": "https://www.nvidia.com/en-us/products/workstations/professional-desktop-gpus/rtx-pro-4500/",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/products/workstations/professional-desktop-gpus/rtx-pro-4500/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-pro-4000-blackwell",
   "name": "NVIDIA RTX PRO 4000 Blackwell",
   "short_name": "RTX PRO 4000 Blackwell",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "workstation",
   "group": "NVIDIA workstation",
   "architecture": "Blackwell",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 24,
   "memory_type": "GDDR7",
   "bandwidth_gbs": 672,
   "bandwidth_derived": false,
   "fp16_tflops": null,
   "fp16_tflops_kind": null,
   "tdp_w": 145,
   "tdp_kind": "Max Power Consumption",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/products/workstations/professional-desktop-gpus/rtx-pro-4000/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "bandwidth_gbs": {
     "url": "https://www.nvidia.com/en-us/products/workstations/professional-desktop-gpus/rtx-pro-4000/",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/products/workstations/professional-desktop-gpus/rtx-pro-4000/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-pro-4000-sff-blackwell",
   "name": "NVIDIA RTX PRO 4000 SFF Blackwell",
   "short_name": "RTX PRO 4000 SFF Blackwell",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "workstation",
   "group": "NVIDIA workstation",
   "architecture": "Blackwell",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 24,
   "memory_type": "GDDR7",
   "bandwidth_gbs": 432,
   "bandwidth_derived": false,
   "fp16_tflops": null,
   "fp16_tflops_kind": null,
   "tdp_w": 70,
   "tdp_kind": "Max Power Consumption",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/products/workstations/professional-desktop-gpus/rtx-pro-4000-sff/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "bandwidth_gbs": {
     "url": "https://www.nvidia.com/en-us/products/workstations/professional-desktop-gpus/rtx-pro-4000-sff/",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/products/workstations/professional-desktop-gpus/rtx-pro-4000-sff/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rtx-pro-6000-max-q-blackwell",
   "name": "NVIDIA RTX PRO 6000 Max-Q Blackwell",
   "short_name": "RTX PRO 6000 Max-Q Blackwell",
   "vendor": "NVIDIA",
   "kind": "gpu",
   "segment": "workstation",
   "group": "NVIDIA workstation",
   "architecture": "Blackwell",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 96,
   "memory_type": "GDDR7",
   "bandwidth_gbs": 1792,
   "bandwidth_derived": false,
   "fp16_tflops": 438.9,
   "fp16_tflops_kind": "Peak FP16 Tensor TFLOPS with FP32 Accumulate (dense)",
   "tdp_w": 300,
   "tdp_kind": "Max Power Consumption",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
    "memory_gb": {
     "url": "https://www.nvidia.com/en-us/products/workstations/professional-desktop-gpus/rtx-pro-6000-max-q/",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "bandwidth_gbs": {
     "url": "https://www.nvidia.com/en-us/products/workstations/professional-desktop-gpus/rtx-pro-6000-max-q/",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": "https://www.nvidia.com/content/dam/en-zz/Solutions/design-visualization/quadro-product-literature/pdf/NVIDIA-RTX-Blackwell-PRO-GPU-Architecture-v1_1.pdf",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": "https://www.nvidia.com/content/dam/en-zz/Solutions/design-visualization/quadro-product-literature/pdf/NVIDIA-RTX-Blackwell-PRO-GPU-Architecture-v1_1.pdf",
     "status": "official_spec"
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "tdp_w": {
     "url": "https://www.nvidia.com/en-us/products/workstations/professional-desktop-gpus/rtx-pro-6000-max-q/",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rx-7600",
   "name": "AMD Radeon RX 7600",
   "short_name": "Radeon RX 7600",
   "vendor": "AMD",
   "kind": "gpu",
   "segment": "consumer",
   "group": "AMD Radeon",
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   "availability_status": "existing_product",
   "availability_note": null,
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    },
    "memory_bus_bits": {
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     "status": "official_spec"
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    "bandwidth_gbs": {
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    },
    "fp16_tflops": {
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     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_vector_tflops": {
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     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
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    "tdp_w": {
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     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rx-7600-xt",
   "name": "AMD Radeon RX 7600 XT",
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    },
    "fp16_vector_tflops": {
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   }
  },
  {
   "slug": "rx-7700-xt",
   "name": "AMD Radeon RX 7700 XT",
   "short_name": "Radeon RX 7700 XT",
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   "tdp_w": 245,
   "tdp_kind": "Typical Board Power (Desktop)",
   "availability_status": "existing_product",
   "availability_note": null,
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    },
    "memory_bus_bits": {
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    },
    "bandwidth_gbs": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/7000-series/amd-radeon-rx-7700-xt.html",
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    },
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     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/7000-series/amd-radeon-rx-7700-xt.html",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_vector_tflops": {
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    },
    "fp16_tflops_sparse": {
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     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "tdp_w": {
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     "status": "official_spec"
    }
   }
  },
  {
   "slug": "rx-7900-gre",
   "name": "AMD Radeon RX 7900 GRE",
   "short_name": "Radeon RX 7900 GRE",
   "vendor": "AMD",
   "kind": "gpu",
   "segment": "consumer",
   "group": "AMD Radeon",
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   "memory_type": "GDDR6",
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   "bandwidth_derived": false,
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   "availability_status": "existing_product",
   "availability_note": null,
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    },
    "memory_bus_bits": {
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    },
    "bandwidth_gbs": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/7000-series/amd-radeon-rx-7900-gre.html",
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    },
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     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_vector_tflops": {
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    }
   }
  },
  {
   "slug": "rx-9060",
   "name": "AMD Radeon RX 9060",
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   "group": "AMD Radeon",
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   "availability_status": "existing_product",
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    },
    "memory_bus_bits": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9060.html",
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    },
    "bandwidth_gbs": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9060.html",
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    },
    "fp16_tflops": {
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     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_vector_tflops": {
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    "fp16_tflops_sparse": {
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    }
   }
  },
  {
   "slug": "rx-9060-xt-8gb",
   "name": "AMD Radeon RX 9060 XT 8GB",
   "short_name": "Radeon RX 9060 XT 8GB",
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   "availability_status": "existing_product",
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    },
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    },
    "bandwidth_gbs": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9060xt-8gb.html",
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    },
    "fp16_tflops": {
     "url": "https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9060xt-8gb.html",
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    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_vector_tflops": {
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   }
  },
  {
   "slug": "rx-9070-gre",
   "name": "AMD Radeon RX 9070 GRE",
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   "tdp_w": 220,
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   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
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    },
    "memory_bus_bits": {
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    },
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    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_vector_tflops": {
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    },
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    }
   }
  },
  {
   "slug": "radeon-pro-w7700",
   "name": "AMD Radeon PRO W7700",
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   "kind": "gpu",
   "segment": "workstation",
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   "tdp_w": 190,
   "tdp_kind": "Total Board Power (TBP)",
   "availability_status": "existing_product",
   "availability_note": null,
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    },
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    },
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    },
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     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
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     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
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    }
   }
  },
  {
   "slug": "radeon-pro-w7800",
   "name": "AMD Radeon PRO W7800",
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   "bandwidth_derived": false,
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   "tdp_w": 260,
   "tdp_kind": "Total Board Power (TBP)",
   "availability_status": "existing_product",
   "availability_note": null,
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     "status": "official_spec"
    },
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     "url": "https://www.amd.com/en/products/graphics/workstations/radeon-pro/w7800.html",
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    },
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    },
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     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
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    },
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     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "tdp_w": {
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     "status": "official_spec"
    }
   }
  },
  {
   "slug": "radeon-pro-w7800-48gb",
   "name": "AMD Radeon PRO W7800 48GB",
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   "kind": "gpu",
   "segment": "workstation",
   "group": "AMD Radeon Pro / AI",
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   "gpu_cores": null,
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   "memory_type": "GDDR6",
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   "fp16_tflops": 90.4,
   "fp16_tflops_kind": "Peak Half Precision (FP16 Matrix) Performance (dense); accumulation precision unspecified",
   "tdp_w": 260,
   "tdp_kind": "Total Board Power (TBP)",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
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     "url": "https://www.amd.com/en/products/graphics/workstations/radeon-pro/w7800-48gb.html",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.amd.com/en/products/graphics/workstations/radeon-pro/w7800-48gb.html",
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    },
    "bandwidth_gbs": {
     "url": "https://www.amd.com/en/products/graphics/workstations/radeon-pro/w7800-48gb.html",
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    },
    "fp16_tflops": {
     "url": "https://www.amd.com/en/products/graphics/workstations/radeon-pro/w7800-48gb.html",
     "status": "official_spec"
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_vector_tflops": {
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    },
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     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "tdp_w": {
     "url": "https://www.amd.com/en/products/graphics/workstations/radeon-pro/w7800-48gb.html",
     "status": "official_spec"
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   }
  },
  {
   "slug": "intel-arc-a380",
   "name": "Intel Arc A380",
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   "vendor": "Intel",
   "kind": "gpu",
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   "group": "Intel Arc",
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   "tdp_kind": "Total Board Power",
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   "availability_note": null,
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     "url": "https://www.intel.com/content/www/us/en/products/sku/227959/intel-arc-a380-graphics/specifications.html",
     "status": "official_spec"
    },
    "memory_bus_bits": {
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     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.intel.com/content/www/us/en/products/sku/227959/intel-arc-a380-graphics/specifications.html",
     "status": "official_spec"
    },
    "fp16_tflops": {
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     "status": "unknown",
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    },
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     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_vector_tflops": {
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     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_tflops_sparse": {
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     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "tdp_w": {
     "url": "https://www.intel.com/content/www/us/en/products/sku/227959/intel-arc-a380-graphics/specifications.html",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "intel-arc-a580",
   "name": "Intel Arc A580",
   "short_name": "Arc A580",
   "vendor": "Intel",
   "kind": "gpu",
   "segment": "consumer",
   "group": "Intel Arc",
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   "gpu_cores": null,
   "bin_key": null,
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   "memory_type": "GDDR6",
   "bandwidth_gbs": 512,
   "bandwidth_derived": false,
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   "tdp_w": 185,
   "tdp_kind": "Total Board Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
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     "url": "https://www.intel.com/content/www/us/en/products/sku/227961/intel-arc-a580-graphics/specifications.html",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.intel.com/content/www/us/en/products/sku/227961/intel-arc-a580-graphics/specifications.html",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.intel.com/content/www/us/en/products/sku/227961/intel-arc-a580-graphics/specifications.html",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_acc16_tflops": {
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     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "tdp_w": {
     "url": "https://www.intel.com/content/www/us/en/products/sku/227961/intel-arc-a580-graphics/specifications.html",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "intel-arc-a750",
   "name": "Intel Arc A750",
   "short_name": "Arc A750",
   "vendor": "Intel",
   "kind": "gpu",
   "segment": "consumer",
   "group": "Intel Arc",
   "architecture": "Xe HPG",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 8,
   "memory_type": "GDDR6",
   "bandwidth_gbs": 512,
   "bandwidth_derived": false,
   "fp16_tflops": null,
   "fp16_tflops_kind": null,
   "tdp_w": 225,
   "tdp_kind": "Total Board Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
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     "url": "https://www.intel.com/content/www/us/en/products/sku/227954/intel-arc-a750-graphics/specifications.html",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.intel.com/content/www/us/en/products/sku/227954/intel-arc-a750-graphics/specifications.html",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.intel.com/content/www/us/en/products/sku/227954/intel-arc-a750-graphics/specifications.html",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "tdp_w": {
     "url": "https://www.intel.com/content/www/us/en/products/sku/227954/intel-arc-a750-graphics/specifications.html",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "intel-arc-a770-8gb",
   "name": "Intel Arc A770 8GB",
   "short_name": "Arc A770 8GB",
   "vendor": "Intel",
   "kind": "gpu",
   "segment": "consumer",
   "group": "Intel Arc",
   "architecture": "Xe HPG",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 8,
   "memory_type": "GDDR6",
   "bandwidth_gbs": 512,
   "bandwidth_derived": false,
   "fp16_tflops": null,
   "fp16_tflops_kind": null,
   "tdp_w": 225,
   "tdp_kind": "Total Board Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
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     "url": "https://www.intel.com/content/www/us/en/products/sku/227955/intel-arc-a770-graphics-8gb/specifications.html",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.intel.com/content/www/us/en/products/sku/227955/intel-arc-a770-graphics-8gb/specifications.html",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.intel.com/content/www/us/en/products/sku/227955/intel-arc-a770-graphics-8gb/specifications.html",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_vector_tflops": {
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     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "tdp_w": {
     "url": "https://www.intel.com/content/www/us/en/products/sku/227955/intel-arc-a770-graphics-8gb/specifications.html",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "intel-arc-a770-16gb",
   "name": "Intel Arc A770 16GB",
   "short_name": "Arc A770 16GB",
   "vendor": "Intel",
   "kind": "gpu",
   "segment": "consumer",
   "group": "Intel Arc",
   "architecture": "Xe HPG",
   "chip": null,
   "gpu_cores": null,
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   "memory_gb": 16,
   "memory_type": "GDDR6",
   "bandwidth_gbs": 560,
   "bandwidth_derived": false,
   "fp16_tflops": null,
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   "tdp_w": 225,
   "tdp_kind": "Total Board Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
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     "url": "https://www.intel.com/content/www/us/en/products/sku/229151/intel-arc-a770-graphics-16gb/specifications.html",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.intel.com/content/www/us/en/products/sku/229151/intel-arc-a770-graphics-16gb/specifications.html",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.intel.com/content/www/us/en/products/sku/229151/intel-arc-a770-graphics-16gb/specifications.html",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_acc16_tflops": {
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     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_vector_tflops": {
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     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
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     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "tdp_w": {
     "url": "https://www.intel.com/content/www/us/en/products/sku/229151/intel-arc-a770-graphics-16gb/specifications.html",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "intel-arc-b570",
   "name": "Intel Arc B570",
   "short_name": "Arc B570",
   "vendor": "Intel",
   "kind": "gpu",
   "segment": "consumer",
   "group": "Intel Arc",
   "architecture": "Xe2",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 10,
   "memory_type": "GDDR6",
   "bandwidth_gbs": 380,
   "bandwidth_derived": false,
   "fp16_tflops": null,
   "fp16_tflops_kind": null,
   "tdp_w": 150,
   "tdp_kind": "Total Board Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
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     "url": "https://www.intel.com/content/www/us/en/products/sku/241676/intel-arc-b570-graphics/specifications.html",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.intel.com/content/www/us/en/products/sku/241676/intel-arc-b570-graphics/specifications.html",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.intel.com/content/www/us/en/products/sku/241676/intel-arc-b570-graphics/specifications.html",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_vector_tflops": {
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     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
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     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "tdp_w": {
     "url": "https://www.intel.com/content/www/us/en/products/sku/241676/intel-arc-b570-graphics/specifications.html",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "intel-arc-b580",
   "name": "Intel Arc B580",
   "short_name": "Arc B580",
   "vendor": "Intel",
   "kind": "gpu",
   "segment": "consumer",
   "group": "Intel Arc",
   "architecture": "Xe2",
   "chip": null,
   "gpu_cores": null,
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   "memory_gb": 12,
   "memory_type": "GDDR6",
   "bandwidth_gbs": 456,
   "bandwidth_derived": false,
   "fp16_tflops": null,
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   "tdp_w": 190,
   "tdp_kind": "Total Board Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
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     "url": "https://www.intel.com/content/www/us/en/products/sku/241598/intel-arc-b580-graphics/specifications.html",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.intel.com/content/www/us/en/products/sku/241598/intel-arc-b580-graphics/specifications.html",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.intel.com/content/www/us/en/products/sku/241598/intel-arc-b580-graphics/specifications.html",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
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     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "tdp_w": {
     "url": "https://www.intel.com/content/www/us/en/products/sku/241598/intel-arc-b580-graphics/specifications.html",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "intel-arc-pro-b50",
   "name": "Intel Arc Pro B50",
   "short_name": "Arc Pro B50",
   "vendor": "Intel",
   "kind": "gpu",
   "segment": "workstation",
   "group": "Intel Arc",
   "architecture": "Xe2",
   "chip": null,
   "gpu_cores": null,
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   "memory_gb": 16,
   "memory_type": "GDDR6",
   "bandwidth_gbs": 224,
   "bandwidth_derived": false,
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   "fp16_tflops_kind": null,
   "tdp_w": 70,
   "tdp_kind": "Total Board Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
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     "url": "https://www.intel.com/content/dam/www/central-libraries/us/en/documents/2026-03/datasheet-b50-gpu.pdf",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.intel.com/content/dam/www/central-libraries/us/en/documents/2026-03/datasheet-b50-gpu.pdf",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.intel.com/content/dam/www/central-libraries/us/en/documents/2026-03/datasheet-b50-gpu.pdf",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "tdp_w": {
     "url": "https://www.intel.com/content/dam/www/central-libraries/us/en/documents/2026-03/datasheet-b50-gpu.pdf",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "intel-arc-pro-b60",
   "name": "Intel Arc Pro B60",
   "short_name": "Arc Pro B60",
   "vendor": "Intel",
   "kind": "gpu",
   "segment": "workstation",
   "group": "Intel Arc",
   "architecture": "Xe2",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 24,
   "memory_type": "GDDR6",
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   "bandwidth_derived": false,
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   "fp16_tflops_kind": null,
   "tdp_w": null,
   "tdp_kind": "Total Board Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
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     "url": "https://www.intel.com/content/dam/www/central-libraries/us/en/documents/2026-03/datasheet-b60-gpu.pdf",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.intel.com/content/dam/www/central-libraries/us/en/documents/2026-03/datasheet-b60-gpu.pdf",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.intel.com/content/dam/www/central-libraries/us/en/documents/2026-03/datasheet-b60-gpu.pdf",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "tdp_w": {
     "url": null,
     "status": "unknown",
     "reason": "Vendor specifies a board-dependent range; no single reference wattage."
    },
    "tdp_range_w": {
     "url": "https://www.intel.com/content/dam/www/central-libraries/us/en/documents/2026-03/datasheet-b60-gpu.pdf",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "intel-arc-pro-b65",
   "name": "Intel Arc Pro B65",
   "short_name": "Arc Pro B65",
   "vendor": "Intel",
   "kind": "gpu",
   "segment": "workstation",
   "group": "Intel Arc",
   "architecture": "Xe2",
   "chip": null,
   "gpu_cores": null,
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   "memory_gb": 32,
   "memory_type": "GDDR6",
   "bandwidth_gbs": 608,
   "bandwidth_derived": false,
   "fp16_tflops": null,
   "fp16_tflops_kind": null,
   "tdp_w": 200,
   "tdp_kind": "Total Board Power",
   "availability_status": "existing_product",
   "availability_note": null,
   "sources": {
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     "url": "https://www.intel.com/content/dam/www/central-libraries/us/en/documents/2026-03/datasheet-b65-gpu.pdf",
     "status": "official_spec"
    },
    "memory_bus_bits": {
     "url": "https://www.intel.com/content/dam/www/central-libraries/us/en/documents/2026-03/datasheet-b65-gpu.pdf",
     "status": "official_spec"
    },
    "bandwidth_gbs": {
     "url": "https://www.intel.com/content/dam/www/central-libraries/us/en/documents/2026-03/datasheet-b65-gpu.pdf",
     "status": "official_spec"
    },
    "fp16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_acc16_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_vector_tflops": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "fp16_tflops_sparse": {
     "url": null,
     "status": "unknown",
     "reason": "No explicit comparable vendor figure verified in reviewed product specifications/architecture papers."
    },
    "tdp_w": {
     "url": "https://www.intel.com/content/dam/www/central-libraries/us/en/documents/2026-03/datasheet-b65-gpu.pdf",
     "status": "official_spec"
    }
   }
  },
  {
   "slug": "intel-arc-pro-b70",
   "name": "Intel Arc Pro B70",
   "short_name": "Arc Pro B70",
   "vendor": "Intel",
   "kind": "gpu",
   "segment": "workstation",
   "group": "Intel Arc",
   "architecture": "Xe2",
   "chip": null,
   "gpu_cores": null,
   "bin_key": null,
   "memory_gb": 32,
   "memory_type": "GDDR6",
   "bandwidth_gbs": 608,
   "bandwidth_derived": false,
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}