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Innovation and leadership in healthcare and life sciences

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Artificial Intelligence (AI)

Artificial Intelligence (AI) refers to technologies that enable machines and software to learn, reason, analyze data, and perform tasks that typically require human intelligence.

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Advanced Materials focuses on innovative materials engineered to deliver enhanced performance, durability, efficiency, and functionality. The industry covers composites

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The Agriculture industry encompasses technologies, products, and services that improve farming, crop production, livestock management

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NVIDIA Corporation
NVIDIA Corporation
Semiconductors, Artificial Intelligence.

NVIDIA Corporation

Accelerating the Future of AI and Computing

1993
Founded
42,000+
Employees
USD 215.9 Billion
Annual Revenue
Jensen Huang
CEO

About NVIDIA Corporation

NVIDIA Corporation is a global technology leader and pioneer in accelerated computing and artificial intelligence (AI). Founded in 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem, and headquartered in Santa Clara, California, NVIDIA invented the Graphics Processing Unit (GPU) in 1999. Today, the company operates as a full-stack computing provider, delivering integrated hardware, software systems, and network architectures.


 

Core Business Platforms & FY2026 Revenue Breakdown

Business SegmentStrategic Focus Areas & Key TechnologiesFY2026 Financial Impact
Data CenterBlackwell & Vera Rubin architectures, DGX AI systems, NVLink, InfiniBand, and Spectrum-X networking.$193.7 Billion (90% of total revenue)
Gaming & AI PCGeForce RTX GPUs, DLSS ray-tracing technology, and AI-powered consumer desktop hardware.$16.0 Billion
Professional VisualizationNVIDIA RTX PRO GPUs, workstation solutions, and Omniverse digital twin systems.$3.2 Billion
Automotive & RoboticsNVIDIA DRIVE autonomous vehicle systems, Jetson edge AI modules, and Isaac robotics platforms.$2.3 Billion

Total FY2026 Net Revenue: $215.9 Billion (Up 65% YoY)


 

Full-Stack AI & Computing Architecture

 

  1. Blackwell & Vera Rubin Architectures: Next-generation GPU and CPU architectures co-designed specifically for trillion-parameter generative AI models and agentic AI systems.
  2. CUDA Software Stack: Core parallel computing platform and programming model providing the foundational software ecosystem for worldwide AI development.
  3. NVIDIA Omniverse: Open 3D operating platform for building real-time industrial simulations, spatial computing environments, and complex digital twins.
  4. Physical AI & Autonomous Robotics: Integrated hardware-software stack powering self-driving vehicles via NVIDIA DRIVE and smart factory robotics via Jetson and Isaac.


     

Key Technology Innovations & Strategic Pillars

  • Generative & Agentic AI Infrastructure: End-to-end compute and networking hardware optimized to reduce token processing costs and power hyperscale cloud providers.
  • High-Speed Interconnects & Networking: NVLink compute fabrics alongside InfiniBand and Ethernet systems designed to link tens of thousands of GPUs into unified AI supercomputers.
  • Enterprise Software & NIM Microservices: Pre-packaged AI microservices enabling enterprise customers to build, deploy, and scale custom LLMs and inference pipelines securely.
  • Autonomous Systems & Industrial Simulation: Advanced simulation and physical AI platforms transforming automotive design, smart manufacturing, and digital twin technology.


     

Primary Market Verticals

  • Hyperscale Cloud & Sovereign AI: Powering major cloud service providers, government AI programs, and global research institutions.
  • Industrial & Smart Manufacturing: Real-time factory design, automated logistics, digital twin simulation, and robotic assembly.
  • Automotive & Mobility: Autonomous driving systems, in-vehicle AI software, and fleet management technologies.
  • Healthcare & Life Sciences: AI-accelerated genomics, molecular simulation, medical imaging, and automated drug discovery platforms.