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NVIDIA

also invests · investor profile

Santa Clara, US · 15 known investors

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NVIDIA designs GPUs, AI computing hardware, and software platforms for AI development, data centers, autonomous vehicles, and robotics, serving developers, researchers, and enterprises. Its offerings include AI models, power architecture for AI factories, and compute infrastructure used across industries such as manufacturing, healthcare, and automotive.

Also known as NVIDIA Corporation

Founders & leadership

JHJensen Huang
Jensen HuangCo-founder, President and CEOHe co-founded the company in 1993 and has led it since. Earlier, he worked at Denny's as a dishwasher, busboy, and waiter from 1978 to 1983.
CMChris Malachowsky
Chris MalachowskyCo-founder
CPCurtis Priem
Curtis PriemCo-founderuntil 2003
CKColette Kress
Colette KressChief Financial Officer
NKNader Khalil
Nader KhalilNader Khalil previously founded Brev.dev, which was acquired by NVIDIA in 2024, and studied at UCSB. He has worked on developer tools, including at Workday.

Investors · 15

Company profile

researched Aug 2026

NVIDIA is a computing company whose platforms span accelerated hardware, AI models and software libraries. Its product lines described on its own site include data center CPUs and systems (Vera, a CPU positioned for agent-based AI, and GB300-powered systems), local AI workstations and supercomputers such as RTX Station GB300, DGX Station and DGX Spark, and the RTX Spark personal AI system. On the software side, NVIDIA publishes open foundation and reasoning models including the Nemotron family (Nemotron 3 Ultra, a 550-billion-parameter mixture-of-experts model, and Nemotron 3.5 Lightning) and Cosmos 3, an "OmniModel" combining reasoning, simulation and action generation for robots, autonomous vehicles and vision AI agents. Additional stacks address agentic workflows (NemoClaw on DGX Station), vision AI (DeepStream 9.1 agentic skills for multi-camera 3D object tracking) and factory automation (FGX, described as an AI system for robotic factories).

The company also positions accelerated computing, libraries and AI models for design and simulation work, enabling large-scale physically accurate simulation, interactive digital twins, computer-aided engineering, rendering and visualization, and virtual and augmented reality. Application areas highlighted include generative AI, speech recognition and speech AI, data analytics, machine learning, recommender systems, medical imaging and supply chain management, alongside integrations with tools and frameworks such as Apache Spark and RAPIDS.

Business model

NVIDIA supplies computing hardware (GPUs, CPUs, workstations and data center systems) together with software platforms, libraries and AI models used by developers, enterprises and industrial software vendors.

Traction

Published customer and partner examples include TSMC applying NVIDIA technology in chip manufacturing, Arup using DGX Spark with GNN-based surrogate models for low-carbon structural design, Zalando scaling 3D product digital twins via the ALLSIDES platform running on NVIDIA technology, and Epic Games. NVIDIA states that leading software partners are bringing AI agents to millions of creators and that global technology leaders are adopting the Vera CPU.

Latest developments

Recent announcements include the Vera CPU for agent-based AI, RTX Station GB300 and RTX Spark, the Cosmos 3 open foundation OmniModel for physical AI, NVIDIA FGX for robotic factories, Nemotron 3 Ultra and Nemotron 3.5 Lightning, DeepStream 9.1 agentic skills, and a collaboration with TSMC to apply AI in chip fabrication. Registration is open for GTC 2026 (March 16-19), and NVIDIA Research is scheduled to present a keynote at SIGGRAPH 2026.

▸Full profile — market position, technology, go-to-market, geography

Market position

NVIDIA presents itself as a leader in AI computing, spanning AI infrastructure for AI factories, agentic AI systems, physical AI and robotics, and AI-native personal computing.

Technology

Accelerated computing hardware including the Vera CPU for agentic AI and GB300-based systems (RTX Station GB300, DGX Station, DGX Spark), plus AI software: Nemotron 3 Ultra (550B open mixture-of-experts reasoning model), Nemotron 3.5 Lightning, Cosmos 3 OmniModel for physical AI, NemoClaw agent stack, DeepStream 9.1 agentic skills for 3D multi-camera object tracking, FGX for robotic factories, and libraries such as RAPIDS with Apache Spark integration. Model Context Protocol (MCP) is used to connect creative applications to NVIDIA AI and agentic workflows.

Go-to-market

NVIDIA reaches developers and enterprises through its own platform ecosystem and software partners, direct product announcements and press releases, a purchasing channel on its website, and large developer events such as GTC (including GTC Taipei and GTC 2026, scheduled for March 16-19) and research keynotes at conferences such as SIGGRAPH 2026.

AI developers and researchers, enterprises across industries such as healthcare, engineering and manufacturing, industrial software vendors, semiconductor manufacturers, creative application developers and creators, and e-commerce and retail brands.

Geography

Headquartered in Santa Clara, United States, with international activity including a GTC event in Taipei and a multilingual (Spanish-language) web presence; partners cited include TSMC (Taiwan), Arup and Zalando.

Compiled by commissioned research from 1 cited public sources — announcements, filings, and press listed under research sources below.

124 people who came through NVIDIA went on to found or lead other companies.

+ 112 more →

Acquisitions · 7

Early investors' stakes continue via these deals
Essential

Essential AI builds an open platform for AI research and development, providing open models, tooling, and evaluation frameworks designed for global collaboration. The company focuses on advancing frontier AI capabilities in areas including long-context language models, software engineering, and optimizations for next-generation hardware.

MediaQ

MediaQ was a fabless semiconductor company founded in 1997 in Santa Clara, California, that designed low-power system-on-chip graphics and multimedia processors for wireless handsets and PDAs.

Mellanox Technologies

Mellanox designed high-performance networking hardware, including InfiniBand and Ethernet adapters, switches, and silicon, to speed data transfer in data centers and supercomputers. It now operates as NVIDIA's networking business unit.

OctoAI

The page is NVIDIA's site (octo.ai now redirects to NVIDIA content), presenting AI computing platforms, GPU hardware, and related tools for developers, researchers, and industries such as media, manufacturing, healthcare, and supply chains. It references acquired company Deci and products spanning accelerated computing and quantum development.

Parabricks

Provides open source tools, pretrained models, APIs, SDKs, and GPU-accelerated pipelines for healthcare and life sciences workloads including drug discovery, healthcare robotics, medical imaging, genomics, and digital health. The offering is built around NVIDIA AI infrastructure for developers and organizations in the healthcare and life sciences industry.

Shoreline

Cloud operations optimisation. Acquired by Nvidia

SwiftStack

SwiftStack is a data platform that manages storage and data placement across private data centers and public clouds at scale, with capabilities for handling large AI and deep learning datasets.

Timeline · 9

launches, deals, and filings
Mar 2026
GTC 2026 conference scheduled for March 16-19

Registration opened for NVIDIA GTC 2026, held March 16-19, with early-bird pricing through February 2.

source ↗

Jan 2026
NVIDIA CEO Jensen Huang delivers GTC Taipei keynote

Keynote covered AI infrastructure advances for AI factories, agentic AI systems, physical AI and robotics, and AI-native personal computing.

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Jan 2026
NVIDIA and TSMC bring AI to chip manufacturing

TSMC is applying NVIDIA technology in fabs to advance semiconductor manufacturing.

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Jan 2026
NVIDIA Cosmos 3 OmniModel released as open foundation model for physical AI

Cosmos 3 is presented as an open frontier foundation model combining reasoning, simulation and action generation for robots, autonomous vehicles and vision AI agents.

source ↗

Jan 2026
NVIDIA FGX introduced for robotic factories

Positioned as an AI brain for robotic factories, aimed at accelerating autonomous industrial agents in manufacturing operations.

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Jan 2026
NVIDIA introduces RTX Spark

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Jan 2026
NVIDIA introduces RTX Station GB300

A local AI supercomputer for Windows powered by GB300, intended for building, running and connecting AI agents to the Windows ecosystem.

source ↗

Jan 2026
NVIDIA launches Vera, a CPU designed for agentic AI

NVIDIA announced Vera, described as the first CPU purpose-built for agent-based AI, with global technology leaders adopting it.

source ↗

Jan 2026
Nemotron 3 Ultra released

An open 550B mixture-of-experts model aimed at frontier reasoning and orchestration of long-running agents; Nemotron 3.5 Lightning also referenced for local AI.

source ↗

Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.

▸Research sources · 1

primary sources listed

1 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does NVIDIA do?
NVIDIA builds accelerated computing hardware and AI software platforms for data centers, robotics, simulation and personal AI systems.
Who founded NVIDIA?
NVIDIA was founded by Jensen Huang, Chris Malachowsky, Curtis Priem.
Who are NVIDIA's investors?
NVIDIA's investors include Digerati Investments, Firestreak Ventures, NVentures, PRIMEPULSE SE, Sequoia Capital, SmartGateVC, SoftBank Vision Fund, Storm Ventures and 7 more.
Where is NVIDIA headquartered?
NVIDIA is headquartered in Santa Clara, US.