{"id":134422,"date":"2025-10-28T17:27:51","date_gmt":"2025-10-28T17:27:51","guid":{"rendered":"https:\/\/blogs.nvidia.com\/?p=86534"},"modified":"2025-10-28T17:27:51","modified_gmt":"2025-10-28T17:27:51","slug":"nvidia-launches-omniverse-dsx-blueprint-enabling-global-ai-infrastructure-ecosystem-to-build-gigawatt-scale-ai-factories-2","status":"publish","type":"post","link":"http:\/\/webdomino.net\/index.php\/nvidia\/nvidia-launches-omniverse-dsx-blueprint-enabling-global-ai-infrastructure-ecosystem-to-build-gigawatt-scale-ai-factories-2\/","title":{"rendered":"NVIDIA Launches Omniverse DSX Blueprint, Enabling Global AI Infrastructure Ecosystem to Build Gigawatt-Scale AI Factories"},"content":{"rendered":"
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During the GTC Washington, D.C., keynote<\/a> today, NVIDIA founder and CEO Jensen Huang introduced NVIDIA Omniverse DSX,<\/a> a comprehensive, open blueprint for designing and operating gigawatt-scale AI factories<\/a> \u2014 validated at the new AI Factory Research Center at Digital Realty\u2019s site in Manassas, Virginia.<\/p>\n

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The blueprint brings together ecosystem partners across the industry that are tapping into NVIDIA Omniverse<\/a> libraries and OpenUSD<\/a> to set a new standard for building and operating gigascale AI factories. For the first time, the building, power and cooling can be codesigned with NVIDIA\u2019s AI Infrastructure stack \u2014 and the process of the Virginia research center build out is captured as a scalable, repeatable recipe validated in a real-world deployment.<\/p>\n

OpenUSD and SimReady Asset Adoption Accelerate the Design Process<\/b><\/h2>\n

It starts with the digital twin<\/a>, where engineering and construction partner Jacobs<\/a> can design the building, then optimize compute density and overall layout to maximize token throughput according to power constraints.<\/p>\n

Jacobs engineers aggregate SimReady<\/a> OpenUSD assets for power, electrical and cooling equipment from partners including Siemens<\/a>, Schneider Electric<\/a>, Trane<\/a> and Vertiv<\/a> into PTC\u2019s<\/a> product lifecycle management system \u2014 allowing cross-functional teams to collaborate in real time on photorealistic 3D models, accelerate design decisions and reduce development risk with shared, version-controlled product data.<\/p>\n

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The advancement of SimReady assets from hardware partners and growing adoption of OpenUSD across industries plays a crucial role in the acceleration of building out these highly complex designs.<\/p>\n

The Cadence Reality Digital Twin<\/a> platform has been purpose-built on top of the blueprint, with integrated Omniverse libraries and accelerated by NVIDIA CUDA<\/a>. This allows engineers to simulate thermals and electricals in a high-fidelity, physically accurate 3D environment to test designs, predict failures and optimize operations in the digital twin before construction.<\/p>\n

Physical Build-Out and Operations Optimized With Digital Twins<\/b><\/h2>\n

Once the AI factory has been designed virtually, NVIDIA partners like Bechtel<\/a> and Vertiv<\/a> deliver prefabricated modules that are factory built, tested and ready to plug in. This significantly reduces build time and allows for modular scalability, helping achieve faster time to revenue.<\/p>\n

The architecture of the DSX blueprint means once the physical AI factory comes online, the digital twin can be used as an operating system to monitor, inspect and further optimize processes.<\/p>\n

For example, AI agents from partners including Phaidra and Emerald AI are trained in the digital twin, and then allow engineers to prompt and optimize power consumption to reduce strain on both the AI factory and the power grid. Phaidra AI agents continuously optimize power, cooling and workloads, turning the AI factory digital twins into a self-learning system that boosts grid flexibility, resiliency and energy efficiency.<\/p>\n

Emerald AI integrates its reference design in DSX to enable utilities to unlock underutilized grid capacity.<\/p>\n

What DSX Delivers<\/b><\/h2>\n

DSX maximizes GPU productivity and energy efficiency across the compute fabric with a single digital twin environment that can be simulated, optimized and used for operations. Prefabricated modules from infrastructure partners prove how AI factories can be designed, assembled, validated and expanded with speed and consistency.<\/p>\n

Three Pillars of DSX:<\/b><\/p>\n