{
  "schema_version": 1,
  "corpus_reviewed": "2026-09-10",
  "record_count": 30,
  "records": [
    {
      "id": "founding-1993",
      "date": "1993-04-05",
      "date_precision": "day",
      "title": "NVIDIA is founded",
      "summary": "The corporate record dates the company to 1993, before the consumer 3D market had settled on a durable graphics model.",
      "category": "Company",
      "lifecycle_state": "Completed",
      "evidence_type": "Company statement",
      "source_ids": [
        "history"
      ],
      "source_urls": [
        "https://www.nvidia.com/en-us/about-nvidia/corporate-timeline/"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "nv1-1995",
      "date": "1995",
      "date_precision": "year",
      "title": "NV1 reaches the market",
      "summary": "NVIDIA's first chip combined graphics and audio around a design path that did not become the industry standard.",
      "category": "Architecture",
      "lifecycle_state": "Completed",
      "evidence_type": "Company statement",
      "source_ids": [
        "history"
      ],
      "source_urls": [
        "https://www.nvidia.com/en-us/about-nvidia/corporate-timeline/"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "riva-128-1997",
      "date": "1997",
      "date_precision": "year",
      "title": "RIVA 128 establishes a stronger product direction",
      "summary": "A more conventional 3D pipeline helped NVIDIA recover from the NV1 approach and compete in the fast-moving PC market.",
      "category": "Architecture",
      "lifecycle_state": "Completed",
      "evidence_type": "Independent reporting",
      "source_ids": [
        "riva"
      ],
      "source_urls": [
        "https://www.electronicdesign.com/technologies/embedded/article/21131077/jon-peddie-research-nvidias-riva-128"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "ipo-1999",
      "date": "1999-01-22",
      "date_precision": "day",
      "title": "Initial public offering announced",
      "summary": "The archived company release records NVIDIA's public-market debut; it is an announcement record, not an analysis of later performance.",
      "category": "Company",
      "lifecycle_state": "Completed",
      "evidence_type": "Company statement",
      "source_ids": [
        "ipo"
      ],
      "source_urls": [
        "https://web.archive.org/web/20190713074208/https://www.nvidia.com/object/IO_20020108_6739.html"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "geforce-1999",
      "date": "1999",
      "date_precision": "year",
      "title": "GeForce 256 is introduced",
      "summary": "The GeForce brand became the durable consumer-facing line through which successive graphics architectures reached PC users.",
      "category": "Product",
      "lifecycle_state": "Completed",
      "evidence_type": "Company statement",
      "source_ids": [
        "history"
      ],
      "source_urls": [
        "https://www.nvidia.com/en-us/about-nvidia/corporate-timeline/"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "xbox-2000",
      "date": "2000",
      "date_precision": "year",
      "title": "Microsoft selects NVIDIA technology for Xbox",
      "summary": "The design relationship extended NVIDIA's graphics work into a major console platform.",
      "category": "Company",
      "lifecycle_state": "Completed",
      "evidence_type": "Company statement",
      "source_ids": [
        "history"
      ],
      "source_urls": [
        "https://www.nvidia.com/en-us/about-nvidia/corporate-timeline/"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "cuda-2006",
      "date": "2006",
      "date_precision": "year",
      "title": "CUDA is introduced",
      "summary": "CUDA made the GPU a programmable parallel-computing target and began the long shift from a graphics supplier toward a platform company.",
      "category": "Software",
      "lifecycle_state": "Completed",
      "evidence_type": "Company statement and documentation",
      "source_ids": [
        "history",
        "cudaGuide"
      ],
      "source_urls": [
        "https://www.nvidia.com/en-us/about-nvidia/corporate-timeline/",
        "https://docs.nvidia.com/cuda/archive/12.6.0/cuda-c-programming-guide/index.html"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "cuda-tools-2007",
      "date": "2007",
      "date_precision": "year",
      "title": "CUDA software tools become available",
      "summary": "Developer tooling turned the architectural proposition into a usable programming model; later compatibility depends on several version layers.",
      "category": "Software",
      "lifecycle_state": "Completed",
      "evidence_type": "Official documentation",
      "source_ids": [
        "cudaGuide"
      ],
      "source_urls": [
        "https://docs.nvidia.com/cuda/archive/12.6.0/cuda-c-programming-guide/index.html"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "tegra-2008",
      "date": "2008",
      "date_precision": "year",
      "title": "Tegra expands the product scope",
      "summary": "The system-on-chip line showed NVIDIA applying its graphics and compute assets beyond add-in PC graphics.",
      "category": "Product",
      "lifecycle_state": "Completed",
      "evidence_type": "Company statement",
      "source_ids": [
        "history"
      ],
      "source_urls": [
        "https://www.nvidia.com/en-us/about-nvidia/corporate-timeline/"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "fermi-2009",
      "date": "2009",
      "date_precision": "year",
      "title": "Fermi compute architecture is described",
      "summary": "Fermi's technical design strengthened general-purpose computing features and the connection between hardware and CUDA.",
      "category": "Architecture",
      "lifecycle_state": "Completed",
      "evidence_type": "Company technical paper",
      "source_ids": [
        "fermi"
      ],
      "source_urls": [
        "https://www.nvidia.com/content/PDF/fermi_white_papers/NVIDIA_Fermi_Compute_Architecture_Whitepaper.pdf"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "alexnet-2012",
      "date": "2012",
      "date_precision": "year",
      "title": "AlexNet changes the deep-learning evidence",
      "summary": "The research result showed a large convolutional network trained on GPUs outperforming the field in the ImageNet challenge.",
      "category": "Research",
      "lifecycle_state": "Completed",
      "evidence_type": "Original research",
      "source_ids": [
        "alexnet",
        "imagenet"
      ],
      "source_urls": [
        "https://papers.nips.cc/paper_files/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf",
        "https://arxiv.org/abs/1409.0575"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "titan-2012",
      "date": "2012",
      "date_precision": "year",
      "title": "GPU acceleration reaches the Titan supercomputer",
      "summary": "The system became a visible example of GPUs operating alongside CPUs in large-scale scientific computing.",
      "category": "Platform",
      "lifecycle_state": "Completed",
      "evidence_type": "Company statement",
      "source_ids": [
        "history"
      ],
      "source_urls": [
        "https://www.nvidia.com/en-us/about-nvidia/corporate-timeline/"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "cudnn-2014",
      "date": "2014-10-03",
      "date_precision": "day",
      "title": "cuDNN research is published",
      "summary": "GPU-optimized deep-learning primitives reduced the amount of low-level implementation work required by frameworks and researchers.",
      "category": "Software",
      "lifecycle_state": "Completed",
      "evidence_type": "Original research",
      "source_ids": [
        "cudnnPaper"
      ],
      "source_urls": [
        "https://arxiv.org/abs/1410.0759"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "pascal-2016",
      "date": "2016",
      "date_precision": "year",
      "title": "Pascal architecture arrives",
      "summary": "Pascal linked new GPU features with higher-bandwidth interconnect and accelerated-computing workloads.",
      "category": "Architecture",
      "lifecycle_state": "Completed",
      "evidence_type": "Company technical explanation",
      "source_ids": [
        "pascal"
      ],
      "source_urls": [
        "https://developer.nvidia.com/blog/inside-pascal/"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "dgx1-2016",
      "date": "2016",
      "date_precision": "year",
      "title": "DGX-1 packages an integrated AI system",
      "summary": "NVIDIA moved up the integration stack from selling components toward delivering a configured multi-GPU system.",
      "category": "Platform",
      "lifecycle_state": "Completed",
      "evidence_type": "Company statement",
      "source_ids": [
        "history"
      ],
      "source_urls": [
        "https://www.nvidia.com/en-us/about-nvidia/corporate-timeline/"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "volta-2017",
      "date": "2017-05-10",
      "date_precision": "day",
      "title": "Volta platform is announced",
      "summary": "The announcement introduced Tensor Cores as specialized hardware for deep-learning matrix operations.",
      "category": "Architecture",
      "lifecycle_state": "Completed",
      "evidence_type": "Company statement",
      "source_ids": [
        "volta"
      ],
      "source_urls": [
        "https://nvidianews.nvidia.com/news/nvidia-launches-revolutionary-volta-gpu-platform-fueling-next-era-of-ai-and-high-performance-computing"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "transformer-2017",
      "date": "2017-06-12",
      "date_precision": "day",
      "title": "Transformer research is published outside NVIDIA",
      "summary": "The paper did not originate at NVIDIA, but the model family later became a major driver of accelerated-computing demand.",
      "category": "Research",
      "lifecycle_state": "Completed",
      "evidence_type": "Original research",
      "source_ids": [
        "transformer"
      ],
      "source_urls": [
        "https://arxiv.org/abs/1706.03762"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "turing-2018",
      "date": "2018",
      "date_precision": "year",
      "title": "Turing combines raster, ray-tracing, and AI hardware",
      "summary": "Turing brought dedicated RT and Tensor Core capabilities into an architecture positioned for real-time graphics.",
      "category": "Architecture",
      "lifecycle_state": "Completed",
      "evidence_type": "Company technical explanation",
      "source_ids": [
        "turing"
      ],
      "source_urls": [
        "https://developer.nvidia.com/blog/nvidia-turing-architecture-in-depth/"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "mellanox-2020",
      "date": "2020-04-27",
      "date_precision": "day",
      "title": "Mellanox acquisition completes",
      "summary": "The completion record matters because it expanded NVIDIA's data-center networking position; this is a completed transaction, not merely an announcement.",
      "category": "Company",
      "lifecycle_state": "Completed",
      "evidence_type": "Company statement",
      "source_ids": [
        "mellanox"
      ],
      "source_urls": [
        "https://nvidianews.nvidia.com/news/nvidia-completes-acquisition-of-mellanox-creating-major-force-driving-next-gen-data-centers"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "ampere-2020",
      "date": "2020",
      "date_precision": "year",
      "title": "Ampere architecture is detailed",
      "summary": "Ampere advanced the shared data-center and graphics architecture line while products implemented different configurations.",
      "category": "Architecture",
      "lifecycle_state": "Completed",
      "evidence_type": "Company technical explanation",
      "source_ids": [
        "ampere"
      ],
      "source_urls": [
        "https://developer.nvidia.com/blog/nvidia-ampere-architecture-in-depth/"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "arm-challenge-2021",
      "date": "2021-12-02",
      "date_precision": "day",
      "title": "FTC challenges the proposed Arm acquisition",
      "summary": "The regulatory complaint is a separate lifecycle event from both the earlier transaction announcement and its later termination.",
      "category": "Regulation",
      "lifecycle_state": "Completed",
      "evidence_type": "Regulatory record",
      "source_ids": [
        "ftcArm"
      ],
      "source_urls": [
        "https://www.ftc.gov/news-events/news/press-releases/2021/12/ftc-sues-block-40-billion-semiconductor-chip-merger"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "arm-end-2022",
      "date": "2022-02-07",
      "date_precision": "day",
      "title": "Arm acquisition terminates",
      "summary": "NVIDIA and SoftBank announced the transaction would not proceed. The correct lifecycle state is terminated, not pending.",
      "category": "Company",
      "lifecycle_state": "Terminated",
      "evidence_type": "Company statement",
      "source_ids": [
        "armEnd"
      ],
      "source_urls": [
        "https://nvidianews.nvidia.com/news/nvidia-and-softbank-group-announce-termination-of-nvidias-acquisition-of-arm-limited"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "hopper-2022",
      "date": "2022-03-22",
      "date_precision": "day",
      "title": "Hopper architecture is announced",
      "summary": "Hopper was positioned for accelerated computing and large AI workloads, with availability following through products and systems.",
      "category": "Architecture",
      "lifecycle_state": "Completed",
      "evidence_type": "Company statement",
      "source_ids": [
        "hopper"
      ],
      "source_urls": [
        "https://nvidianews.nvidia.com/news/nvidia-announces-hopper-architecture-the-next-generation-of-accelerated-computing"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "open-modules-2022",
      "date": "2022-05-11",
      "date_precision": "day",
      "title": "Open GPU kernel modules are released",
      "summary": "The release changed one layer of the Linux driver stack; it did not make every part of the software stack open source.",
      "category": "Software",
      "lifecycle_state": "Completed",
      "evidence_type": "Company technical announcement",
      "source_ids": [
        "openModules"
      ],
      "source_urls": [
        "https://developer.nvidia.com/blog/nvidia-releases-open-source-gpu-kernel-modules/"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "fy2023-2023",
      "date": "2023-02-22",
      "date_precision": "day",
      "title": "NVIDIA reports fiscal 2023 results",
      "summary": "This reporting event gives a dated company view before the sharp acceleration in data-center demand visible in the next fiscal year.",
      "category": "Business",
      "lifecycle_state": "Completed",
      "evidence_type": "Company financial report",
      "source_ids": [
        "fy2023"
      ],
      "source_urls": [
        "https://nvidianews.nvidia.com/news/nvidia-announces-financial-results-for-fourth-quarter-and-fiscal-2023"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "fy2024-2024",
      "date": "2024-02-21",
      "date_precision": "day",
      "title": "NVIDIA reports fiscal 2024 results",
      "summary": "The company report documents the business shift associated with accelerated computing; it remains management-reported evidence.",
      "category": "Business",
      "lifecycle_state": "Completed",
      "evidence_type": "Company financial report",
      "source_ids": [
        "fy2024"
      ],
      "source_urls": [
        "https://nvidianews.nvidia.com/news/nvidia-announces-financial-results-for-fourth-quarter-and-fiscal-2024"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "blackwell-2024",
      "date": "2024-03-18",
      "date_precision": "day",
      "title": "Blackwell platform is announced",
      "summary": "The platform announcement starts a lifecycle; individual GPU, system, provider, software, and regional availability states require separate verification.",
      "category": "Architecture",
      "lifecycle_state": "Completed",
      "evidence_type": "Company statement",
      "source_ids": [
        "blackwell"
      ],
      "source_urls": [
        "https://nvidianews.nvidia.com/news/nvidia-blackwell-platform-arrives-to-power-a-new-era-of-computing"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "fy2026-2026",
      "date": "2026-02-25",
      "date_precision": "day",
      "title": "NVIDIA reports fiscal 2026 results",
      "summary": "The earnings release and filed annual report provide different evidence forms for the same reporting period.",
      "category": "Business",
      "lifecycle_state": "Completed",
      "evidence_type": "Company report and regulatory filing",
      "source_ids": [
        "fy2026",
        "tenK2026"
      ],
      "source_urls": [
        "https://nvidianews.nvidia.com/news/nvidia-announces-financial-results-for-fourth-quarter-and-fiscal-2026",
        "https://www.sec.gov/Archives/edgar/data/1045810/000104581026000021/nvda-20260125.htm"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "q2fy2027-2026",
      "date": "2026-08-26",
      "date_precision": "day",
      "title": "NVIDIA reports second-quarter fiscal 2027 results",
      "summary": "This is a company reporting event. It should not be read as independent validation of every product-readiness statement inside it.",
      "category": "Business",
      "lifecycle_state": "Completed",
      "evidence_type": "Company financial report",
      "source_ids": [
        "q2fy2027"
      ],
      "source_urls": [
        "https://nvidianews.nvidia.com/news/nvidia-announces-financial-results-for-second-quarter-fiscal-2027"
      ],
      "corpus_reviewed": "2026-09-10"
    },
    {
      "id": "hugging-face-2026",
      "date": "2026",
      "date_precision": "year",
      "title": "NVIDIA announces an agreement to acquire Hugging Face",
      "summary": "The source establishes the company announcement. Until a completion record is verified, the transaction remains announced or pending.",
      "category": "Company",
      "lifecycle_state": "Announced",
      "evidence_type": "Company statement",
      "source_ids": [
        "huggingface"
      ],
      "source_urls": [
        "https://blogs.nvidia.com/blog/nvidia-to-acquire-hugging-face/"
      ],
      "corpus_reviewed": "2026-09-10"
    }
  ]
}