NVIDIA
NVIDIA dominates AI accelerated computing with GPUs powering data centers worldwide.
Updated April 2026
Overview
- Website
- nvidia.com
- Founded
- 1993
- Headquarters
- Santa Clara, CA
- 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.