{
  "schema_version": 1,
  "checked_at": "2026-08-04",
  "gpus": [
    {"gpu_id":"rtx-3050-8","name":"GeForce RTX 3050 8GB","architecture":"Ampere","vram_gb":8,"memory":"GDDR6","ecc":false,"power_w":130,"cooling":"active","form_factor":"consumer dual-slot, model dependent","role":"legacy entry inference","strengths":"low entry cost on secondary market","limits":"8GB VRAM, older tensor generation","value_class":"legacy only","node_class":"N4","procurement":"UNAVAILABLE_NEW_RETAIL"},
    {"gpu_id":"rtx-4060-8","name":"GeForce RTX 4060 8GB","architecture":"Ada Lovelace","vram_gb":8,"memory":"GDDR6","ecc":false,"power_w":115,"cooling":"active","form_factor":"compact consumer","role":"efficient entry inference","strengths":"low energy use, AV1","limits":"8GB VRAM","value_class":"only if discounted","node_class":"N4","procurement":"LEGACY"},
    {"gpu_id":"rtx-5060-8","name":"GeForce RTX 5060 8GB","architecture":"Blackwell","vram_gb":8,"memory":"GDDR7","ecc":false,"power_w":145,"cooling":"active","form_factor":"consumer dual-slot","role":"entry AI and media","strengths":"current generation, low capex","limits":"VRAM blocks larger local models","value_class":"entry","node_class":"N4","product_id":"gpu-rtx-5060-8-msi"},
    {"gpu_id":"rtx-3060-12","name":"GeForce RTX 3060 12GB","architecture":"Ampere","vram_gb":12,"memory":"GDDR6","ecc":false,"power_w":170,"cooling":"active","form_factor":"consumer dual-slot","role":"legacy memory-oriented entry inference","strengths":"12GB VRAM","limits":"older architecture, uncertain new supply","value_class":"used-market option","node_class":"N5","procurement":"LEGACY"},
    {"gpu_id":"rtx-5070-12","name":"GeForce RTX 5070 12GB","architecture":"Blackwell","vram_gb":12,"memory":"GDDR7","ecc":false,"power_w":250,"cooling":"active","form_factor":"consumer dual-slot","role":"balanced creator and inference","strengths":"strong throughput, current codecs","limits":"12GB ceiling","value_class":"balanced","node_class":"N6","product_id":"gpu-rtx-5070-12-asus"},
    {"gpu_id":"rtx-4060ti-16","name":"GeForce RTX 4060 Ti 16GB","architecture":"Ada Lovelace","vram_gb":16,"memory":"GDDR6","ecc":false,"power_w":165,"cooling":"active","form_factor":"consumer dual-slot","role":"efficient 16GB inference","strengths":"VRAM-to-power ratio","limits":"older generation and limited bandwidth","value_class":"discount dependent","node_class":"N6","procurement":"LEGACY"},
    {"gpu_id":"rtx-5060ti-16","name":"GeForce RTX 5060 Ti 16GB","architecture":"Blackwell","vram_gb":16,"memory":"GDDR7","ecc":false,"power_w":180,"cooling":"active","form_factor":"consumer dual-slot","role":"recommended budget local AI","strengths":"16GB at moderate power","limits":"consumer reliability, no ECC","value_class":"high","node_class":"N6","product_id":"gpu-rtx-5060ti-16-msi"},
    {"gpu_id":"rtx-5070ti-16","name":"GeForce RTX 5070 Ti 16GB","architecture":"Blackwell","vram_gb":16,"memory":"GDDR7","ecc":false,"power_w":300,"cooling":"active","form_factor":"consumer 2.5-3.5 slot","role":"high-throughput 16GB inference and media","strengths":"throughput and codecs","limits":"same 16GB capacity as cheaper card","value_class":"throughput upgrade","node_class":"N7","product_id":"gpu-rtx-5070ti-16-gigabyte"},
    {"gpu_id":"rtx-5080-16","name":"GeForce RTX 5080 16GB","architecture":"Blackwell","vram_gb":16,"memory":"GDDR7","ecc":false,"power_w":360,"cooling":"active","form_factor":"consumer 3-slot","role":"premium creator and inference","strengths":"high throughput","limits":"16GB VRAM and high power","value_class":"specialized","node_class":"N7","product_id":"gpu-rtx-5080-16-gigabyte"},
    {"gpu_id":"rtx-4090-24","name":"GeForce RTX 4090 24GB","architecture":"Ada Lovelace","vram_gb":24,"memory":"GDDR6X","ecc":false,"power_w":450,"cooling":"active","form_factor":"consumer 3-4 slot","role":"legacy high-end local AI","strengths":"24GB ecosystem maturity","limits":"end-of-generation retail volatility","value_class":"only at verified price","node_class":"N9","procurement":"LEGACY"},
    {"gpu_id":"rtx-pro-4000-blackwell-24","name":"RTX PRO 4000 Blackwell 24GB","architecture":"Blackwell","vram_gb":24,"memory":"GDDR7 ECC","ecc":true,"power_w":145,"cooling":"active","form_factor":"single-slot full-height","role":"dense professional workstation","strengths":"ECC, single slot, low power","limits":"professional price premium","value_class":"professional density","node_class":"N8","spec_url":"https://www.nvidia.com/content/dam/en-zz/Solutions/products/workstations/professional-desktop-gpus/rtx-pro-4000/workstation-datasheet-rtx-pro-4000-nvidia-us-web.pdf","procurement":"B2B_QUOTE_REQUIRED"},
    {"gpu_id":"l4-24","name":"NVIDIA L4 24GB","architecture":"Ada Lovelace","vram_gb":24,"memory":"GDDR6 ECC","ecc":true,"power_w":72,"cooling":"passive","form_factor":"low-profile single-slot server","role":"efficient datacenter inference and video","strengths":"low power and density","limits":"requires server airflow, no desktop fan","value_class":"datacenter efficiency","node_class":"N8","procurement":"B2B_QUOTE_REQUIRED"},
    {"gpu_id":"rtx-5090-32","name":"GeForce RTX 5090 32GB","architecture":"Blackwell","vram_gb":32,"memory":"GDDR7","ecc":false,"power_w":575,"cooling":"active","form_factor":"consumer 3-4 slot","role":"maximum consumer local AI","strengths":"32GB and highest consumer throughput","limits":"power, cooling, connector risk, no ECC","value_class":"performance-first","node_class":"N9","product_id":"gpu-rtx-5090-32-gigabyte"},
    {"gpu_id":"rtx-pro-4500-blackwell-32","name":"RTX PRO 4500 Blackwell 32GB","architecture":"Blackwell","vram_gb":32,"memory":"GDDR7 ECC","ecc":true,"power_w":200,"cooling":"active","form_factor":"dual-slot full-height","role":"professional CAD, media and AI","strengths":"ECC, 32GB, moderate power","limits":"price premium","value_class":"professional balanced","node_class":"N9","product_id":"gpu-rtx-pro-4500-blackwell"},
    {"gpu_id":"rtx-6000-ada-48","name":"RTX 6000 Ada Generation 48GB","architecture":"Ada Lovelace","vram_gb":48,"memory":"GDDR6 ECC","ecc":true,"power_w":300,"cooling":"active","form_factor":"dual-slot full-height","role":"mature professional AI and DCC","strengths":"48GB ECC and mature drivers","limits":"older architecture and high acquisition cost","value_class":"stability-first","node_class":"N10","product_id":"gpu-rtx-6000-ada-48"},
    {"gpu_id":"l40s-48","name":"NVIDIA L40S 48GB","architecture":"Ada Lovelace","vram_gb":48,"memory":"GDDR6 ECC","ecc":true,"power_w":350,"cooling":"passive","form_factor":"dual-slot FHFL server","role":"datacenter inference, graphics and video","strengths":"48GB, server density, enterprise support path","limits":"requires qualified chassis airflow","value_class":"enterprise serviceability","node_class":"N10","product_id":"gpu-l40s-48-cisco"},
    {"gpu_id":"rtx-pro-5000-blackwell-72","name":"RTX PRO 5000 Blackwell 72GB","architecture":"Blackwell","vram_gb":72,"memory":"GDDR7 ECC","ecc":true,"power_w":300,"cooling":"active","form_factor":"dual-slot full-height","role":"large-model workstation","strengths":"72GB ECC at workstation power","limits":"very high capex","value_class":"large-model workstation","node_class":"N11","product_id":"gpu-rtx-pro-5000-blackwell-72"},
    {"gpu_id":"rtx-pro-6000-blackwell-ws-96","name":"RTX PRO 6000 Blackwell Workstation 96GB","architecture":"Blackwell","vram_gb":96,"memory":"GDDR7 ECC","ecc":true,"power_w":600,"cooling":"active dual-flow","form_factor":"dual-slot full-height","role":"maximum workstation model capacity","strengths":"96GB ECC","limits":"600W thermal and electrical design","value_class":"capacity-first","node_class":"N12","product_id":"gpu-rtx-pro-6000-blackwell-96"},
    {"gpu_id":"rtx-pro-6000-blackwell-maxq-96","name":"RTX PRO 6000 Blackwell Max-Q 96GB","architecture":"Blackwell","vram_gb":96,"memory":"GDDR7 ECC","ecc":true,"power_w":300,"cooling":"active","form_factor":"dual-slot full-height","role":"energy-constrained 96GB workstation","strengths":"96GB at lower power envelope","limits":"lower sustained throughput than 600W variant","value_class":"capacity-per-watt","node_class":"N12","procurement":"B2B_QUOTE_REQUIRED"},
    {"gpu_id":"rtx-pro-6000-blackwell-server-96","name":"RTX PRO 6000 Blackwell Server Edition 96GB","architecture":"Blackwell","vram_gb":96,"memory":"GDDR7 ECC","ecc":true,"power_w":600,"cooling":"passive","form_factor":"dual-slot server","role":"enterprise inference and graphics","strengths":"server qualification and 96GB","limits":"qualified chassis required","value_class":"enterprise capacity","node_class":"N12","procurement":"B2B_QUOTE_REQUIRED"},
    {"gpu_id":"h100-sxm-80","name":"NVIDIA H100 SXM 80GB","architecture":"Hopper","vram_gb":80,"memory":"HBM3 ECC","ecc":true,"power_w":700,"cooling":"platform dependent","form_factor":"SXM datacenter module","role":"training and high-throughput inference","strengths":"NVLink and mature datacenter stack","limits":"platform-only procurement","value_class":"enterprise cluster","node_class":"P17","procurement":"B2B_QUOTE_REQUIRED"},
    {"gpu_id":"h200-sxm-141","name":"NVIDIA H200 SXM 141GB","architecture":"Hopper","vram_gb":141,"memory":"HBM3e ECC","ecc":true,"power_w":700,"cooling":"platform dependent","form_factor":"SXM datacenter module","role":"large-model training and inference","strengths":"high memory capacity and bandwidth","limits":"platform and data-center requirements","value_class":"enterprise cluster","node_class":"P17","procurement":"B2B_QUOTE_REQUIRED"},
    {"gpu_id":"b200-sxm-192","name":"NVIDIA B200 192GB","architecture":"Blackwell","vram_gb":192,"memory":"HBM3e ECC","ecc":true,"power_w":1000,"cooling":"liquid or qualified platform","form_factor":"SXM datacenter module","role":"frontier training and inference","strengths":"very high capacity and throughput","limits":"rack-scale power, cooling and procurement","value_class":"strategic infrastructure","node_class":"P17","procurement":"B2B_QUOTE_REQUIRED"},
    {"gpu_id":"b300-sxm-288","name":"NVIDIA B300 288GB","architecture":"Blackwell Ultra","vram_gb":288,"memory":"HBM3e ECC","ecc":true,"power_w":1400,"cooling":"liquid-cooled qualified platform","form_factor":"SXM datacenter module","role":"frontier rack-scale AI","strengths":"maximum accelerator capacity class","limits":"not a workstation part; facility engineering mandatory","value_class":"strategic infrastructure","node_class":"P17","procurement":"B2B_QUOTE_REQUIRED"},
    {"gpu_id":"gb200-nvl72","name":"NVIDIA GB200 NVL72","architecture":"Blackwell rack-scale","vram_gb":13824,"memory":"HBM3e aggregate ECC","ecc":true,"power_w":120000,"cooling":"liquid-cooled rack","form_factor":"rack-scale system","role":"frontier multi-model platform","strengths":"NVLink domain and rack integration","limits":"facility-scale project, not a node BOM","value_class":"data center program","node_class":"P17","procurement":"B2B_QUOTE_REQUIRED"}
  ]
}