NVIDIA organization chart

NVIDIA Organization Chart

Explore a live NVIDIA org chart, then review how NVIDIA reports operating segments and executive leadership in its latest annual report. Use this page to map leadership ownership across platforms, software, and go-to-market functions.

Last updated Feb, 2026

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Operating Model: Graphics And Compute & Networking

NVIDIA reports two operating segments: Graphics and Compute & Networking. Graphics covers GPU platforms and related software, while Compute & Networking includes data center platforms, networking, and accelerated computing products.

A leadership-level org chart should make it clear who owns each segment, the platform roadmaps, and the shared services that connect them.

What This Means For Org Design

  • Show segment ownership so accountability for platform strategy is unambiguous.
  • Surface shared software, developer, and ecosystem teams as horizontal partners.
  • Highlight go-to-market leadership aligned to enterprise, hyperscale, and partner channels.

Leadership Structure: CEO-Led With Platform Ownership

NVIDIA lists Jensen Huang as President and Chief Executive Officer and Colette Kress as Executive Vice President and Chief Financial Officer. Executive leadership spans platform engineering, finance, operations, and go-to-market functions.

Org charts should make the executive platform owners visible and clarify how corporate functions support the Graphics and Compute & Networking segments.

Global Structure: Regional Scale With Channel Partners

NVIDIA generates revenue across the United States and international markets, with sales supported by a global network of distributors, cloud partners, and system integrators.

On an org chart, show regional go-to-market leadership connected to centralized product and platform teams.

Timeline: How Structure Evolves With The Platform

NVIDIA's organization has expanded from graphics innovation into accelerated computing and AI platforms.

  • 1993–1999: Graphics foundation

    Company founded and early GPU products establish the graphics platform.

  • 2000–2010: Platform scale and CUDA

    CUDA and developer tooling expand the platform beyond graphics.

  • 2011–2020: Data center and AI growth

    Teams scale around accelerated computing, deep learning, and hyperscale partners.

  • 2021–today: Full-stack AI platforms

    Organization aligns around AI infrastructure, software platforms, and industry solutions.

Further Reading

Public sources referenced for this page.

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