{
  "card": "https://itha.ai/c/nvidia.com/card.json",
  "facts": [
    {
      "path": "/company/description",
      "method": "inferred",
      "sources": [
        {
          "url": "https://www.nvidia.com/en-us/about-nvidia/",
          "quote": "NVIDIA pioneered accelerated computing to tackle challenges no one else can solve.",
          "retrieved": "2026-08-25"
        },
        {
          "url": "https://nvidia.com",
          "quote": "Products / Solutions / Industries: GeForce, data center platforms, Jetson, RTX PRO, DRIVE, Omniverse, networking",
          "retrieved": "2026-08-25"
        }
      ]
    },
    {
      "path": "/company/founded",
      "method": "extracted",
      "sources": [
        {
          "url": "https://www.linkedin.com/company/nvidia",
          "quote": "Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing",
          "retrieved": "2026-08-25"
        }
      ]
    },
    {
      "path": "/company/hq",
      "method": "extracted",
      "sources": [
        {
          "url": "https://investor.nvidia.com",
          "quote": "2788 San Tomas Expressway, Santa Clara, CA 95051",
          "retrieved": "2026-08-25"
        }
      ]
    },
    {
      "path": "/company/employees",
      "method": "extracted",
      "sources": [
        {
          "url": "https://www.sec.gov/Archives/edgar/data/1045810/000104581025000023/nvda-20250126.htm",
          "quote": "approximately 36,000 employees in 38 countries",
          "retrieved": "2026-08-25"
        }
      ]
    },
    {
      "path": "/company/identifiers/lei",
      "method": "extracted",
      "sources": [
        {
          "url": "https://lei.bloomberg.com/leis/view/549300S4KLFTLO7GSQ80",
          "quote": "549300S4KLFTLO7GSQ80",
          "retrieved": "2026-08-25"
        }
      ]
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    {
      "path": "/company/same_as/0",
      "method": "extracted",
      "sources": [
        {
          "url": "https://en.wikipedia.org/wiki/Nvidia",
          "quote": "Nvidia Corporation",
          "retrieved": "2026-08-25"
        }
      ]
    },
    {
      "path": "/company/same_as/1",
      "method": "extracted",
      "sources": [
        {
          "url": "https://www.wikidata.org/wiki/Q182477",
          "quote": "Nvidia",
          "retrieved": "2026-08-25"
        }
      ]
    },
    {
      "path": "/company/same_as/2",
      "method": "extracted",
      "sources": [
        {
          "url": "https://www.linkedin.com/company/nvidia",
          "quote": "NVIDIA | LinkedIn",
          "retrieved": "2026-08-25"
        }
      ]
    },
    {
      "path": "/icp/regions",
      "method": "inferred",
      "sources": [
        {
          "url": "https://www.sec.gov/Archives/edgar/data/1045810/000104581025000023/nvda-20250126.htm",
          "quote": "approximately 36,000 employees in 38 countries",
          "retrieved": "2026-08-25"
        }
      ]
    },
    {
      "path": "/summary",
      "method": "extracted",
      "sources": [
        {
          "url": "https://www.nvidia.com/en-us/geforce/graphics-cards/",
          "quote": "RTX 5090, RTX 5080, RTX 5070 Family, RTX 5060 Family, RTX 5050; RTX 40 Series",
          "retrieved": "2026-08-25"
        }
      ],
      "offering": "geforce-rtx"
    },
    {
      "path": "/summary",
      "method": "extracted",
      "sources": [
        {
          "url": "https://www.nvidia.com/en-us/data-center/",
          "quote": "Blackwell GPU Architecture, Grace CPU Architecture, Vera Rubin NVL72, GB300 NVL72 and GB200 NVL72, DGX Platform, DGX SuperPOD, HGX",
          "retrieved": "2026-08-25"
        }
      ],
      "offering": "data-center-platforms"
    },
    {
      "path": "/summary",
      "method": "extracted",
      "sources": [
        {
          "url": "https://www.nvidia.com/en-us/networking/",
          "quote": "Ethernet platform for hyperscale AI cloud networking",
          "retrieved": "2026-08-25"
        },
        {
          "url": "https://www.nvidia.com/en-us/networking/",
          "quote": "advanced computing platform powering AI data centers",
          "retrieved": "2026-08-25"
        }
      ],
      "offering": "networking"
    },
    {
      "path": "/summary",
      "method": "extracted",
      "sources": [
        {
          "url": "https://www.nvidia.com/en-us/products/workstations/",
          "quote": "From breathtaking architectural and industrial design to advanced special effects, complex scientific visualizations, and AI tasks like fine-tuning large language models",
          "retrieved": "2026-08-25"
        }
      ],
      "offering": "rtx-pro"
    },
    {
      "path": "/summary",
      "method": "extracted",
      "sources": [
        {
          "url": "https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/",
          "quote": "the leading platform for robotics and edge AI applications",
          "retrieved": "2026-08-25"
        }
      ],
      "offering": "jetson"
    },
    {
      "path": "/pricing",
      "method": "extracted",
      "sources": [
        {
          "url": "https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/",
          "quote": "Jetson Orin Nano™ series Up to 67 TOPS 7-15 W 70 mm x 45 mm Starting at 199 USD",
          "retrieved": "2026-08-25"
        }
      ],
      "offering": "jetson"
    },
    {
      "path": "/extensions/robotics/category",
      "method": "inferred",
      "sources": [
        {
          "url": "https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/",
          "quote": "compact edge AI computers",
          "retrieved": "2026-08-25"
        }
      ],
      "offering": "jetson"
    },
    {
      "path": "/summary",
      "method": "extracted",
      "sources": [
        {
          "url": "https://www.nvidia.com/en-us/deep-learning-ai/industries/robotics/",
          "quote": "AI robotics platform for robot simulation, training, and deployment",
          "retrieved": "2026-08-25"
        },
        {
          "url": "https://www.nvidia.com/en-us/deep-learning-ai/industries/robotics/",
          "quote": "CUDA-accelerated ROS 2 stack for perception and mobility",
          "retrieved": "2026-08-25"
        }
      ],
      "offering": "isaac"
    },
    {
      "path": "/summary",
      "method": "extracted",
      "sources": [
        {
          "url": "https://www.nvidia.com/en-us/self-driving-cars/",
          "quote": "the only end-to-end, full-stack autonomous vehicle platform that enables production autonomy from L2++ to L4 robotaxi",
          "retrieved": "2026-08-25"
        }
      ],
      "offering": "drive"
    },
    {
      "path": "/certifications",
      "method": "extracted",
      "item_id": "iso_26262",
      "sources": [
        {
          "url": "https://www.nvidia.com/en-us/ai-trust-center/halos/autonomous-vehicles/",
          "quote": "Under the ISO 26262 standard, NVIDIA DriveOS 6.0 is certified ASIL D conformant and Thor-X SoC is assessed as ASIL D conformant.",
          "retrieved": "2026-08-25"
        }
      ],
      "offering": "drive"
    },
    {
      "path": "/certifications",
      "method": "extracted",
      "item_id": "iso_sae_21434",
      "sources": [
        {
          "url": "https://www.nvidia.com/en-us/ai-trust-center/halos/autonomous-vehicles/",
          "quote": "NVIDIA also received ISO/SAE 21434 Cybersecurity Process certification for its automotive system-on-a-chip, platform, and software engineering processes.",
          "retrieved": "2026-08-25"
        }
      ],
      "offering": "drive"
    },
    {
      "path": "/summary",
      "method": "extracted",
      "sources": [
        {
          "url": "https://www.nvidia.com/en-us/omniverse/",
          "quote": "prebuilt capabilities for building simulation-ready worlds that physical AI teams can use to train, test, and validate systems before real-world deployment",
          "retrieved": "2026-08-25"
        }
      ],
      "offering": "omniverse"
    },
    {
      "path": "/proof/customers",
      "method": "extracted",
      "item_id": "foxconn",
      "sources": [
        {
          "url": "https://www.nvidia.com/en-us/deep-learning-ai/industries/robotics/",
          "quote": "Foxconn (industrial applications)",
          "retrieved": "2026-08-25"
        }
      ]
    },
    {
      "path": "/proof/customers",
      "method": "extracted",
      "item_id": "boston_dynamics",
      "sources": [
        {
          "url": "https://www.nvidia.com/en-us/deep-learning-ai/industries/robotics/",
          "quote": "Boston Dynamics (robot learning)",
          "retrieved": "2026-08-25"
        }
      ]
    },
    {
      "path": "/proof/customers",
      "method": "extracted",
      "item_id": "apptronik",
      "sources": [
        {
          "url": "https://www.nvidia.com/en-us/deep-learning-ai/industries/robotics/",
          "quote": "Apptronik (humanoid robots)",
          "retrieved": "2026-08-25"
        }
      ]
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    {
      "path": "/proof/customers",
      "method": "extracted",
      "item_id": "uber",
      "sources": [
        {
          "url": "https://www.nvidia.com/en-us/self-driving-cars/",
          "quote": "Major adopters include Uber, Hyundai Motor Group, Mercedes-Benz, General Motors, Toyota, BYD, Geely, Volvo Cars, and Jaguar Land Rover",
          "retrieved": "2026-08-25"
        }
      ]
    },
    {
      "path": "/proof/customers",
      "method": "extracted",
      "item_id": "siemens",
      "sources": [
        {
          "url": "https://www.nvidia.com/en-us/omniverse/",
          "quote": "Siemens (industrial digital twins)",
          "retrieved": "2026-08-25"
        }
      ]
    },
    {
      "path": "/extensions/robotics/roles",
      "method": "inferred",
      "sources": [
        {
          "url": "https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/",
          "quote": "the leading platform for robotics and edge AI applications",
          "retrieved": "2026-08-25"
        },
        {
          "url": "https://www.nvidia.com/en-us/deep-learning-ai/industries/robotics/",
          "quote": "AI robotics platform for robot simulation, training, and deployment",
          "retrieved": "2026-08-25"
        }
      ]
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  "generated_at": "2026-08-25T00:00:00Z",
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}