Google Cloud and Nvidia Expand Confidential AI Infrastructure
Google Cloud is extending Confidential Bare Metal support to Nvidia GB300-based A4X Max instances, adding protection for AI models and data.
NVIDIA
NVIDIA is a leading AI infrastructure company providing GPUs, accelerated computing platforms, networking, and software used to train and deploy frontier AI systems.
- Founded 1993
- Headquarters Santa Clara, California, United States
- CEO Jensen Huang
Overview
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Founded
1993
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Headquarters
Santa Clara, California, United States
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Industry
AI Infrastructure
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CEO
Jensen Huang
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Founders
Jensen Huang, Chris Malachowsky, Curtis Priem
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Funding
Public company
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Valuation
Public market capitalization varies
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Employees
42,000+
About NVIDIA
NVIDIA is one of the most important companies in the AI economy, supplying the GPUs, networking systems, software libraries, and full-stack computing platforms used to train and run modern artificial intelligence models. Founded in 1993, the company moved from graphics processing into accelerated computing and became a central infrastructure provider for data centers, cloud providers, AI labs, enterprises, autonomous systems, robotics, and scientific computing.
Its AI business spans GPUs, CUDA, DGX systems, networking, inference software, robotics platforms, and domain-specific tools for healthcare, automotive, simulation, and enterprise workloads. As demand for generative AI and agentic systems has expanded, NVIDIA has become a core supplier for the compute layer behind many leading AI products and services.
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Products & Business
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Products & Services
- GPUs
- CUDA
- DGX systems
- Grace Blackwell
- NVIDIA AI Enterprise
- Omniverse
- Jetson
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Platform & Tools
CUDA, cuDNN, TensorRT, NIM microservices, NVIDIA AI Enterprise, Omniverse, Isaac, Jetson, and accelerated computing SDKs.
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Revenue Model
Hardware sales, data center systems, cloud partnerships, enterprise software licensing, developer tools, and ecosystem services.
Key Information
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Business Type
Public AI infrastructure and semiconductor company
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Headquarters
Santa Clara, California, United States
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Founded Date
1993
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Company CEO
Jensen Huang
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Founders
Jensen Huang, Chris Malachowsky, Curtis Priem
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Brands
GeForce, CUDA, DGX, Blackwell, Grace Blackwell, NVIDIA AI Enterprise, Omniverse, Jetson
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Categories
News
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Employee Count
42,000+
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Funding
Public company
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Valuation
Public market capitalization varies
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Ownership
Public
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Stock Ticker
NVDA
Latest NVIDIA News
Nvidia Unveils OpenShell Architecture to Keep AI Agents in Check
Nvidia’s OpenShell architecture separates agent work from security enforcement, combining runtime policies with optional hardware isolation.
Anthropic in Talks for Second $45 Billion Nscale Compute Deal
Anthropic is discussing another $45 billion Nscale agreement for West Virginia computing capacity, adding to an existing commitment as Claude demand grows.
DeepSeek Open-Sources DeepInfer for Nvidia and Huawei AI Chips
DeepSeek has released DeepInfer, its production inference engine, with support for V4.1 Flash on Nvidia SM100 and Huawei Ascend 950 hardware. The public release covers offline inference.
Germany and Nvidia Sign Industrial AI Partnership for Robotics and Manufacturing
Germany has signed a joint declaration with Nvidia to advance industrial AI models for robotics, manufacturing and autonomous systems through its Industry 4.0 network.
NVIDIA Launches Nemotron 3.5 Super VL and Bolt for Open AI Agents
NVIDIA’s Nemotron 3.5 Super VL handles visual documents and agent workflows, while Bolt targets local AI in 24GB. A 4GB version arrives October 23.
Nvidia’s Jensen Huang Urges AI Safety Cooperation With China
Jensen Huang urges cooperation with Chinese AI researchers as the industry debates how to manage advanced systems and maintain effective human control.
Navitas and Nvidia Develop 24kW Power Board for AI Data Centers
Navitas and Nvidia have developed a 24kW board that converts 800V to 12V in one stage, targeting more efficient power delivery for AI data centers.
Nvidia and Cisco Unveil USFP Optics to Scale AI Factories
Nvidia and Cisco outline USFP optics for denser, more efficient AI networks, alongside new Cisco systems for scaling and managing data centers.
Microsoft Unveils Maia 300 to Power Its Main AI Inference System
Microsoft plans to make Maia its primary AI inference system, with Maia 300 arriving in 2027 and a larger role for its homegrown chips.