Designs the GPUs, networking systems, and software that power modern AI, accelerated computing, gaming, and autonomous machines.
★★★★★
★★★★★
Growing
What NVIDIA does
NVIDIA designs the computing platforms that power modern AI — combining GPUs, CPUs, networking, and software such as CUDA into full-stack systems used by cloud providers, AI companies, enterprises, and developers.
Founded
1993
Santa Clara, California
CEO
Jensen Huang
Since 1993
Market cap
$5.25T
#1 in the world
Revenue (FY26)
$215.9B
+65% YoY
30-Second Summary
A plain-English explanation of NVIDIA's business model
If you only remember one thing
NVIDIA makes money by selling the computing infrastructure behind the AI boom. Its GPUs, networking systems, and CUDA software are used by cloud providers, AI labs, enterprises, and governments to train and run AI models at massive scale. The company's biggest advantage is not just the chip itself, but the full ecosystem around CUDA, networking, systems, and software — which makes NVIDIA difficult to replace once customers build their AI infrastructure around it.
Business Segments
Where NVIDIA's $215.9B Fiscal year 2026 (ended Jan 25, 2026) comes from
$215.9B
Fiscal year 2026
89.7% of revenue ·+68% YoY
7.4% of revenue ·+41% YoY
1.5% of revenue ·+70% YoY
1.1% of revenue ·+39% YoY
Business Model
How NVIDIA makes money — the ecosystem flywheel
Design the Platform
Build AI Infrastructure
Strengths & Risks
What makes NVIDIA strong — and what could go wrong
AI Platform Leadership
Leads the accelerated-computing infrastructure used to train and run modern AI models
CUDA Ecosystem
CUDA and its software stack create a deep developer and application ecosystem around NVIDIA GPUs
Full-Stack Advantage
Combines GPUs, CPUs, networking, systems, and software instead of selling chips in isolation
Pricing Power
Exceptional demand and differentiated performance support unusually high gross margins
AI Infrastructure Scale
Its platforms are deployed by hyperscalers, AI labs, enterprises, governments, and startups worldwide
Financial Overview
Fiscal year 2026 (ended Jan 25, 2026)
$215.9B
+65% YoY
FY26
$120.1B
+65% YoY
FY26
$96.7B
+58.9% YoY
FY26
NVIDIA is converting the AI boom into extraordinary profits: revenue grew 65% in FY26 while net income reached $120.1B. The bigger question is no longer whether NVIDIA can grow — it is how long AI infrastructure spending can sustain growth at this scale.
Financial History
5-year trend, fiscal years 2022–2026
$215.9B
+702% since FY22
Business Ecosystem
Who NVIDIA depends on — and who depends on NVIDIA
TSMC
Manufactures NVIDIA's advanced GPUs and processors at leading-edge nodes
SK hynix
Supplies and co-develops high-bandwidth memory critical to NVIDIA's AI platforms
Micron
Provides high-bandwidth memory used in NVIDIA's AI computing platforms
NVIDIA
The AI platform
Competitors
Companies that compete with NVIDIA across AI accelerators, custom silicon, cloud infrastructure, and networking. Market cap shown relative to NVIDIA's ~$5.25T (September 2026 snapshot).
AMD
$760B
Direct rival — competes with NVIDIA's GPUs and AI accelerators in data centers and high-performance computing
Broadcom
$1.75T
Strategic competitor — helps hyperscalers build custom AI accelerators that can reduce reliance on NVIDIA GPUs
Alphabet
$4.2T
Vertical competitor — Google's custom TPU ecosystem gives it an alternative to NVIDIA GPUs for its own AI workloads and Google Cloud
Advanced Micro Devices, Inc.
Designs high-performance processors, graphics chips, and adaptive computing products for data centers, PCs, gaming, and embedded systems.
Broadcom Inc.
Designs semiconductor solutions and infrastructure software that power data centers, networks, and enterprise IT systems.
