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L1 · Silicon & ComputeNVDA

NVIDIA

NVIDIA dominates AI accelerated computing with GPUs powering data centers worldwide.

Updated May 2026

Overview

Website
nvidia.com
Founded
1993
Headquarters
Santa Clara, CA
Ownership
Public
Segment
GPU & AI Accelerators

Product overview

NVIDIA designs GPUs like Hopper and Blackwell architectures, networking (InfiniBand, Ethernet), and platforms for data center AI, gaming (GeForce), professional visualization (RTX), automotive (DRIVE), and robotics., Customers include hyperscalers (AWS, Azure, Google Cloud, Meta), OEMs, enterprises, and AI firms buying directly or indirectly via systems. It stands out via CUDA software ecosystem, annual architecture cadence, unified GPU design across markets, and 80-90% AI GPU market share over AMD/Intel.

Revenue model

Primarily product sales of semiconductors, systems, and networking gear (89% from Compute & Networking incl. Data Center GPUs); minor software, licensing, cloud services (deferred revenue ~$2.4B); Data Center ~90% total revenue.

Moat

NVIDIA's competitive moat is built on a dual-layer advantage: cutting-edge GPU hardware combined with CUDA software lock-in that creates massive switching costs. The CUDA ecosystem, with 2 million developers and 16+ years of tooling, makes it economically prohibitive for companies to migrate to competing chips, while continuous hardware innovation (H100, Blackwell) and full-stack AI solutions maintain technological leadership despite competition from AMD, Intel, and custom chips.

Active layers

Stack lineage

What powers NVIDIA

L6Applications
  • Cursor

    Jensen Huang, President & CEO: 'Every one of our engineers, some 40,000, are now assisted by AI and our productivity has gone up incredibly.'

L1Silicon
  • Broadcom

    NVIDIA Vera Rubin NVL72 uses ConnectX-9 SuperNICs for scale-out and scale-across networking.

  • Groq

    We have entered into an intellectual property license arrangement with Groq, Inc., or Groq, that required significant, nonrefundable payments.

  • Intel

    The change in Other income, net, was primarily driven by unrealized gains in non-marketable and publicly-held equity securities, including gains from our previously announced investment in Intel's common stock.

  • SK Hynix

    We purchase memory from SK Hynix Inc., Micron Technology, Inc., and Samsung.

  • Micron Technology

    We purchase memory from SK Hynix Inc., Micron Technology, Inc., and Samsung.

What NVIDIA powers

L6Applications
  • Microsoft Copilot

    Delaware law, provisions in our governing documents and our agreement with Microsoft could delay or prevent a change in control.

L4Models
  • Nous Research

    Hermes Agent is optimized for always-on local use on NVIDIA RTX PCs.

  • Mistral AI

    Mistral was accelerated and optimized for NVIDIA RTX and edge devices.

  • OpenAI

    We are finalizing an investment and partnership agreement with OpenAI. There is no assurance that we will enter into an investment and partnership agreement with OpenAI or that a transaction will be completed.

  • OpenRouter

    OpenRouter hosts NVIDIA's models — e.g. nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free appears in their public model catalog.

  • Together AI

    Together AI hosts NVIDIA's models — e.g. nvidia/parakeet-tdt-0.6b-v3 appears in their public model catalog.

L2Cloud
  • CoreWeave

    Deploy industry's most advanced hardware including NVIDIA GB200 and GB300 NVL72 systems; also uses NVIDIA Quantum-X800, Quantum-2 InfiniBand, and Spectrum-X networking.

Competitors

7 companies

Named as a competitor in their own or this company's SEC filings.

L6Applications
  • Microsoft Copilot

    Large cloud services companies with internal teams designing hardware and software that incorporate accelerated or AI computing functionality, such as Alibaba Group, Alphabet Inc., Amazon, Microsoft Corporation, and suppliers of Arm-based CPUs.

L1Silicon
  • Arista Networks

    Networking products competitors include AMD, Arista Networks, Broadcom, Cisco Systems, Inc., Hewlett Packard Enterprise Company, Huawei, Intel, Lumentum Holdings Inc., and Marvell Technology, Inc.

  • Qualcomm

    Suppliers of hardware and software for SoC products used in servers or embedded into automobiles, autonomous machines, and gaming devices, such as Ambarella, Inc., AMD, Broadcom, Intel, Qualcomm Incorporated, Renesas Electronics Corporation, and Samsung.

  • Broadcom

    Suppliers of hardware and software for SoC products and networking products including such as AMD, Arista Networks, Broadcom, Cisco Systems, Inc., Hewlett Packard Enterprise Company, Huawei, Intel, Lumentum Holdings Inc., and Marvell Technology, Inc.

  • Intel

    Competitors include suppliers of hardware and software for discrete and integrated GPUs, custom chips and other accelerated computing solutions, including solutions offered for AI, such as Intel Corporation, or Intel.

  • Marvell Technology

    Networking products competitors include AMD, Arista Networks, Broadcom, Cisco Systems, Inc., Hewlett Packard Enterprise Company, Huawei, Intel, Lumentum Holdings Inc., and Marvell Technology, Inc.

  • AMD

    In the Data Center segment, we compete primarily against Intel Corporation (Intel) and Nvidia Corporation (Nvidia) with our CPU, GPU DPU and AI NIC server products.