NVIDIA
also invests · investor profileSanta 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

Investors · 15
Funding
SEC filings, press & company announcements$100M disclosed across 1 of 2 rounds · 2026
Source: company announcements and press reports — follow each round's link for the claim.
Company profile
researched Aug 2026NVIDIA 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.
Acquisitions · 2
Early investors' stakes continue via these dealsCloud operations optimisation. Acquired by Nvidia
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 filingsRegistration opened for NVIDIA GTC 2026, held March 16-19, with early-bird pricing through February 2.
Keynote covered AI infrastructure advances for AI factories, agentic AI systems, physical AI and robotics, and AI-native personal computing.
TSMC is applying NVIDIA technology in fabs to advance semiconductor manufacturing.
Cosmos 3 is presented as an open frontier foundation model combining reasoning, simulation and action generation for robots, autonomous vehicles and vision AI agents.
Positioned as an AI brain for robotic factories, aimed at accelerating autonomous industrial agents in manufacturing operations.
A local AI supercomputer for Windows powered by GB300, intended for building, running and connecting AI agents to the Windows ecosystem.
NVIDIA announced Vera, described as the first CPU purpose-built for agent-based AI, with global technology leaders adopting it.
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.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
In the news
▸Research sources · 1
primary sources listed
- NVIDIAnvidia.com · web
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.
- 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.
- How much funding has NVIDIA raised?
- NVIDIA has disclosed $100M raised across 1 of its 2 known rounds.
- Where is NVIDIA headquartered?
- NVIDIA is headquartered in Santa Clara, US.
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