# NVIDIA DGX Cloud NVIDIA’s AI factory in the cloud. ## DGX Cloud—How NVIDIA Builds AI DGX™ Cloud is NVIDIA’s internal cloud environment for building and operating AI at scale to support NVIDIA’s most demanding internal AI use cases. It is used to develop open source frontier and foundational models, validate new system architectures, and run production AI workloads. DGX Cloud is built on NVIDIA-accelerated infrastructure and runs across CSPs and NVIDIA Cloud Partners. This ensures that the software and operational patterns proven in DGX Cloud are directly applicable across the ecosystem. ### NVIDIA Cloud Accelerator NVIDIA Cloud Accelerator is a portfolio of open source, modular, and composable-by-design software that helps partners build and operate AI factories resiliently, efficiently, and securely at scale. [Learn More](https://docs.nvidia.com/ncx/) ### NVIDIA Exemplar Cloud NVIDIA Exemplar Cloud improves performance-per-TCO with validated HW/SW stacks and Performance Benchmarking, ensuring consistent, high-quality GPU performance. [Learn More](/content/en-us/data-center/ai-cloud-performance/index.html) ### What Is NVIDIA DGX Cloud? DGX Cloud serves as NVIDIA’s AI proving ground. Operational challenges encountered at scale are solved inside DGX Cloud first, then transformed into repeatable software, architectures, and reference implementations. The software, operational intelligence, and infrastructure patterns developed inside DGX Cloud are externalized as modular, open infrastructure components through NVIDIA Cloud Accelerator. [NVIDIA Nemotron™](/content/en-us/ai-data-science/foundation-models/nemotron/index.html) is a family of open models trained and optimized on NVIDIA DGX Cloud, demonstrating the scale and reliability of NVIDIA’s [AI factory](/content/en-us/glossary/ai-factory/index.html), and supporting multi-node training across tens of thousands of GPUs in production. [Watch Video](https://www.youtube.com/watch?v=_y9SEtn1lU8) ## Build and Operate Leading AI Cloud Factories NVIDIA Cloud Accelerator software is a portfolio of open source, modular, and composable-by-design software that helps partners build and operate AI factories at scale reliably, efficiently, and securely. [Learn More](https://docs.nvidia.com/ncx/) ## NVIDIA AI Is Accelerated by NVIDIA DGX Cloud NVIDIA’s mission-critical research and next-gen open models are built and accelerated by NVIDIA DGX Cloud. ### Accelerate Autonomous Vehicle Development NVIDIA Alpamayo is an open portfolio of AI models, simulation frameworks, and [physical AI](/content/en-us/glossary/generative-physical-ai/index.html) datasets designed to accelerate the development of safe, transparent, and reasoning-based autonomous vehicles. [Learn More About NVIDIA Alpamayo](/content/en-us/solutions/autonomous-vehicles/alpamayo/index.html) ### Building Humanoid Robot Reasoning and Skills NVIDIA Isaac™ GR00T is an open vision-language-action model for humanoid robots, delivering humanlike reasoning powered by Cosmos Reason to understand and act in the physical world. [Learn More About NVIDIA Isaac GR00T](https://developer.nvidia.com/isaac/gr00t) ### Fuel Open-Source AI Development NVIDIA Nemotron is a collection of open-source models, datasets, and techniques developed and accelerated on DGX Cloud, giving developers the ability to build, customize, and deploy powerful agentic AI solutions with unparalleled performance and scalability. [Learn More About NVIDIA Nemotron](https://resources.nvidia.com/en-us-dgx-cloud/how-nemotron-fuels-ai-development) ### Accelerate Physical AI Development NVIDIA CosmosTM is a platform of state-of-the-art generative [world foundation models](/content/en-us/glossary/world-models/index.html), advanced tokenizers, guardrails, and an accelerated data processing and curation pipeline built to accelerate the development of [physical AI](/content/en-us/glossary/generative-physical-ai/index.html) systems such as autonomous vehicles and robots. [Learn More About NVIDIA Cosmos](https://resources.nvidia.com/en-us-dgx-cloud/cosmos/) ## Explore the Latest NVIDIA AI Developments Driven by DGX Cloud Innovations ### February 18, 2026 How NVIDIA Extreme Hardware-Software Co-Design Delivered a Large Inference Boost for Sarvam AI’s Sovereign Models As global AI adoption accelerates, developers face a growing challenge: delivering large language model (LLM) performance that meets real-world latency and cost… ### November 18, 2025 Powering AI Superfactories, NVIDIA and Microsoft Integrate Latest Technologies for Inference, Cybersecurity, Physical AI Timed with the Microsoft Ignite conference running this week, NVIDIA is expanding its collaboration with Microsoft, including through the adoption of next-generation NVIDIA Spectrum-X Ethernet switches for the new Microsoft Fairwater AI superfactory, powered by the NVIDIA Blackwell platform. ### October 23, 2025 Train an LLM on NVIDIA Blackwell with Unsloth—and Scale for Production Fine-tuning and reinforcement learning (RL) for large language models (LLMs) require advanced expertise and complex workflows, making them out of reach for many. ## Next Steps ### Discover NVIDIA Cloud Accelerator Operate AI clouds reliably and efficiently at scale with a portfolio of open, modular infrastructure software components. [Learn More](https://docs.nvidia.com/ncx/) ### Measure What Matters With Performance Benchmarking Optimize AI workload performance on any NVIDIA infrastructure with NVIDIA performance benchmarking. [Learn More](/content/en-us/data-center/dgx-cloud-benchmarking/index.html) ### Become An Exemplar Cloud Achieve optimal AI workload performance per TCO in partnership with NVIDIA with data-driven validated benchmarks.