NVIDIA
NVIDIA is the pioneer of GPU computing, focusing on high-performance graphics and artificial intelligence to simulate worlds, physics, and intelligence.
At a Glance
- Cloud Service Providers (CSPs)
- Gaming and eSports
- Automotive Industry
- Healthcare and Life Sciences
- +1 more
AI Tools by NVIDIA
(4)
NVIDIA Dynamo
LLM Inference Orchestration Framework
SkillSpector
AI Agent Skills Security Scanner
NemoClaw
Open Source AI Agent Sandbox
NVIDIA OpenShell
Sandboxed Runtime for AI Agents
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Latest News
NVIDIA 2026 Annual Meeting: Highlights progress in Physical AI and Agentic AI.
NVIDIA Reports Record Fiscal 2026 Revenue of $215.9 Billion, up 65% YoY.
NVIDIA and OpenAI Partner to build 10GW AI computing capacity.
NVIDIA Unveils Dynamo open-source inference framework at GTC 2025.
Products & Services
Consumer GPUs for gaming and creative work featuring ray tracing.
Next-generation AI chips designed for generative AI and data centers.
High-performance data center GPUs for AI training and inference.
Open-source, modular inference framework for serving large language models (LLMs) in distributed environments.
Market Position
NVIDIA maintains a dominant market share in AI training chips (estimated >80%) and high-end gaming GPUs, positioned as a full-stack computing company spanning hardware, software, and networking.
Leadership
Founders
Jensen Huang
Co-founder, President and CEO. Previously Director of Coreware at LSI Logic and a microprocessor designer at AMD.
Chris Malachowsky
Co-founder and NVIDIA Fellow. Previously held engineering and technical leadership positions at HP and Sun Microsystems.
Curtis Priem
Co-founder and former CTO. Previously a senior staff engineer at Sun Microsystems and architect of the GX graphics chip.
Executive Team
Jensen Huang
Founder, President and CEO
Previously at LSI Logic and AMD; led NVIDIA from its inception.
Colette Kress
EVP and Chief Financial Officer
Previously served in senior finance roles at Cisco and Microsoft.
Board of Directors
Founding Story
NVIDIA was founded in April 1993 by three computer scientists over a meeting at a Denny's in San Jose. They believed the PC would become a consumer device for enjoying games and multimedia, and that the right architecture for this was accelerated computing.
Business Model
Revenue Model
Primarily hardware sales of GPUs and specialized AI systems. Increasingly expanding into software licensing (AI Enterprise, Omniverse) and cloud-based AI services.
Pricing Tiers
Hardware purchase through retailers.
License for enterprise-grade AI software and support.
High-value sales to Cloud Service Providers and enterprises.
Target Markets
- Cloud Service Providers (CSPs)
- Gaming and eSports
- Automotive Industry
- Healthcare and Life Sciences
- Manufacturing and Robotics
- Generative AI Training and Inference
- High-performance Gaming
- Scientific Simulation and Digital Twins
- Autonomous Driving
- Professional Visual Content Creation
- Microsoft
- Amazon Web Services
- Google Cloud
- Meta