NVIDIA
NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Their work in AI and digital twins is transforming the world's largest industries.
At a Glance
- Data Center & AI
- Gaming
- Professional Visualization
- Automotive
- +2 more
AI Tools by NVIDIA
(1)
NVIDIA OpenShell
Sandboxed Runtime for AI Agents
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Latest News
NVIDIA Launches Nemotron 3 Nano Omni Model for Efficient AI
NVIDIA Reports Record Q4 Revenue of $68.1 Billion
NVIDIA Announces DLSS 4.5 and New GeForce RTX 50-Series at CES
Jensen Huang Keynote at GTC 2026 Highlights Robotics and Blackwell Scale
Products & Services
The next-generation AI chip architecture for large-scale generative AI training and inference.
High-performance GPU for data centers, widely used for training large language models.
Consumer GPUs based on the Blackwell architecture for gaming and creative work.
An end-to-end, cloud-native suite of AI and data analytics software.
Market Position
Dominant market leader in AI acceleration (estimated 80-90% market share in AI training chips). Differentiated by the CUDA software ecosystem which creates a significant 'moat' against competitors like AMD and Intel.
Leadership
Founders
Jensen Huang
Founder, President, and CEO of NVIDIA since 1993. Previously worked at LSI Logic as Director of Coreware and at AMD as a microprocessor designer.
Chris Malachowsky
Founder and NVIDIA Fellow. Previously worked at Sun Microsystems and HP. Holds over 40 patents in GPU design.
Curtis Priem
Founder and former CTO. Previously worked at Sun Microsystems where he was the architect of the GX graphics chip. Also worked at IBM.
Executive Team
Jensen Huang
Founder, President and CEO
Founding CEO, instrumental in NVIDIA's pivot to accelerated computing and AI.
Colette Kress
EVP and Chief Financial Officer
Joined NVIDIA in 2013. Previously CFO at Cisco and VP at Microsoft.
Board of Directors
Founding Story
Founded in 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem. The trio met at a San Jose Denny's to discuss creating a company to bring 3D graphics to the gaming and multimedia markets, believing that the PC would become a consumer device for enjoying games.
Business Model
Revenue Model
Primarily hardware sales (GPUs for Data Center and Gaming), supplemented by software subscriptions (AI Enterprise) and cloud services (GeForce NOW).
Pricing Tiers
Subscription for enterprise-grade AI software and support.
Cloud gaming on RTX 4080/5080-class servers.
Priority access and 1440p gaming.
Target Markets
- Data Center & AI
- Gaming
- Professional Visualization
- Automotive
- Healthcare
- Robotics
- Generative AI training and inference
- Cloud Gaming
- Autonomous Driving
- Scientific Computing
- Digital Twin Simulation
- Microsoft
- Meta
- Tesla