NVIDIA
AI Compute & GPUs
- Market Cap
- ~$5.0T(Oct 2026)
- Revenue
- $215.9B(FY2026, ended 25 Jan 2026), +65%
- Employees
- ~42,000(FY2026)
About NVIDIA
NVIDIA is the dominant designer of GPUs and AI accelerators. Its data-center GPUs (A100, H100, H200, and the Blackwell B200/GB200) together with the CUDA software platform power the majority of the world's AI training and inference, making NVIDIA the foundational infrastructure provider of the modern AI era. Beyond silicon, NVIDIA ships full-stack AI software including NVIDIA AI Enterprise, NIM microservices, TensorRT, and the Omniverse simulation platform.
Company History
NVIDIA was founded in 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem. It popularised the term 'GPU' with the GeForce 256 in 1999 and introduced CUDA in 2006, which turned GPUs into general-purpose parallel computers and became the foundation of the deep-learning revolution. Its A100 (2020) and H100 (2022) data-center GPUs became the de facto standard for training large language models, and the Blackwell architecture followed in 2024. Surging AI demand made NVIDIA one of the world's most valuable companies, surpassing a $3 trillion market capitalisation in mid-2024.
Company Timeline
6 milestones- 1999GeForce 256 launched, marketed as 'the world's first GPU'
- 2006CUDA introduced, enabling general-purpose GPU computing
- 2020A100 (Ampere) data-center GPU released — standard for LLM training
- Mar 2022H100 (Hopper) announced; became the dominant AI training accelerator
- Mar 2024Blackwell architecture (B200 / GB200) unveiled at GTC 2024
- Jun 2024Surpassed $3T market cap, briefly the world's most valuable company
Products & Services
10- H100 GPU
- H200 GPU
- Blackwell (B200 / GB200)
- CUDA
- DGX Systems
- NVIDIA AI Enterprise
- NIM Microservices
- TensorRT
- Triton Inference Server
- Omniverse
People & ecosystem
Key People
- Jensen Huang (CEO / Co-founder)
- Chris Malachowsky (Co-founder)
- Curtis Priem (Co-founder)