Design · United States

NVIDIA

Dominant designer of AI accelerators (Hopper, Blackwell, Rubin GPUs), NVLink/InfiniBand interconnect and the CUDA software stack that power most AI training clusters and leading supercomputers.

Headquarters
Santa Clara, United States · North America
Value chain
Design(Research & design); also Hardware & devices
What that means
Designs products others make: fabless chip design, reference designs, architectures and IP cores.
Founded
1993
Staff
36,000 (2025)
Ownership
Listed
Listing
Nasdaq:NVDA on Google Finance
Website
nvidia.com
Relevance
Very high at its strongest, in High-Performance & AI Computing

In 8 capabilities

Each capability the company is listed in, most relevant first: how experts in the field see its global relevance there, why it is listed and the source.

  1. Semiconductors & Advanced Computing · Design · listed #1 of 50

    Dominant designer of AI accelerators (Hopper, Blackwell, Rubin GPUs), NVLink/InfiniBand interconnect and the CUDA software stack that power most AI training clusters and leading supercomputers.

    Relevance: Dominant AI accelerator and systems provider

    Source · en.wikipedia.org

  2. Semiconductors & Advanced Computing · Design · listed #4 of 50

    Largest fabless chip designer by revenue; it designs the GPU and AI accelerator families (Hopper, Blackwell) used in most AI data centres.

    Relevance: Largest fabless designer; defines AI accelerator design globally

    Source · en.wikipedia.org

  3. Robotics & Autonomous Systems · Equipment & materials · listed #5 of 50

    Its DRIVE Orin and Thor computers, DriveOS software and Isaac/Omniverse simulation are the leading compute and validation platform for autonomous vehicles and robots.

    Relevance: DRIVE compute and simulation underpin much of the industry

    Source · nvidia.com

  4. Artificial Intelligence · Equipment & materials · listed #6 of 50

    Supplies most of the GPUs and the CUDA software stack used to train foundation models worldwide, and publishes its own Nemotron models.

    Relevance: GPUs and CUDA underpin virtually all foundation model training.

    Source · en.wikipedia.org

  5. Robotics & Autonomous Systems · Software & services · listed #18 of 50

    Supplies the Jetson/Thor robot computers, the Isaac simulation stack and GR00T humanoid foundation models that many humanoid and AMR developers build on.

    Relevance: Supplies robot compute, simulation and foundation models across the field

    Source · nvidia.com

  6. Connectivity, Cyber & Trust Technologies · Design · listed #8 of 50

    Through Mellanox it designs LinkX optical interconnects and Spectrum-X/Quantum-X silicon-photonics co-packaged-optics switches for AI networks.

    Relevance: Drives AI optical interconnect and CPO switch adoption

    Source · nvidianews.nvidia.com

  7. Quantum Technologies · Software & services · listed #16 of 50

    Supplies the CUDA-Q hybrid programming platform, cuQuantum simulation libraries and NVQLink GPU-QPU interconnect used across the quantum hardware industry.

    Relevance: CUDA-Q and NVQLink make it central to hybrid quantum computing

    Source · developer.nvidia.com

  8. Artificial Intelligence · Software & services · listed #7 of 50

    Supplies the open-source NeMo Guardrails, the Garak LLM vulnerability scanner and an AI red team, which are widely used to secure deployed models.

    Relevance: NeMo Guardrails and Garak widely used open tooling.

    Source · github.com