★
Menu
Home How It's Built Watchlist The Stack
Hardware ChipsCompare Chips Servers & SystemsNetworking MemoryFoundries & Packaging Cooling
Facilities Data CentersPower ProjectsCloud & GPU Compute
Intelligence AI ModelsSoftware AI ProductsBenchmarks Research PapersDatasets Concepts
Ecosystem CompaniesStocks PeopleTimeline TrendsFuture of AI
Learn News Ask the Data AI Agents
About About us Methodology Data & API Disclaimer
Options
DATA & API

Free read-only JSON access to the site's cached data.

Dark mode

Guided View
New to chips, data centers and model jargon? We explain key terms as you browse, in plain English. Same data, with the help built in.

Expert View
You already know the stack. Just the data: clean, fast and compact, with no extra explanations. This is the default view.

Interface language
‹ Back
Home › Companies › NVIDIA

NVIDIA

Company Chip Designers & Semis NVDA · NASDAQ

The company the AI build-out is denominated in: GPUs, systems, networking and CUDA.

You're looking at a company record: what this company does in the AI stack, and every chip, technology, facility and company it's linked to below.

Price (delayed)$228.52
Day0.97%
Week-3.77%
YTD21.01%
Market cap$5.51T
As of06:27 UTC

Quotes are delayed/indicative; research only, never investment advice.

Photo: Coolcaesar at English Wikipedia · CC BY-SA 3.0 · Wikimedia Commons

NVIDIA turned a graphics-chip business into the platform underneath modern AI: Hopper and Blackwell GPUs, NVLink rack-scale systems, InfiniBand and Spectrum-X networking from its Mellanox acquisition, and the CUDA software layer that holds it all together. Its data-center revenue grew roughly tenfold between 2023 and 2025, and in 2025 it became the first company to pass a $4 trillion, then $5 trillion, market value. Jensen Huang has led it since founding.

How this connects to the rest of the stack

This record's links at a glance — click a group to jump to it. +5 more groups below.

Investor in

Backed by

Founded by

Led by

Maintained by

Sources

NVIDIA newsroom ↗

Record reviewed as of 2026-01-15 — see Methodology.