Nvidia at the moment introduced a major growth of the Nvidia Omniverse Blueprint for AI manufacturing facility digital twins, now out there as a preview.
The blueprint options new integrations throughout the AI manufacturing facility energy, cooling and networking ecosystems with {industry} leaders Delta Electronics, Jacobs and Siemens, becoming a member of present companions Cadence, Schneider Electrical with ETAP and Vertiv. With digital twins, these corporations can put together for a construct AI factories in actual life. Nvidia made the announcement at Computex 2025 in Taiwan.
This rising ecosystem unifies the design and simulation of billions of elements required to construct digital twins of AI factories. The expanded blueprint will equip engineering groups to design, simulate and optimize whole AI factories in bodily correct digital environments, enabling early subject detection and the event of smarter, extra dependable amenities.
Constructed on reference architectures for Nvidia GB200 NVL72-powered AI factories, the blueprint faucets into Common Scene Description (OpenUSD) asset libraries. This enables builders to combination detailed 3D and simulation knowledge representing all elements of the information middle right into a single, unified mannequin, enabling them to design and simulate superior AI infrastructure optimized for effectivity, throughput and resiliency.
AI manufacturing facility ecosystem groups With Nvidia
The Omniverse Blueprint for AI manufacturing facility digital twins brings collectively numerous companions and instruments to optimize the design, simulation, deployment and operations of AI factories. Right this moment, Nvidia introduced that new companions are contributing to the framework.
Siemens is constructing 3D fashions in keeping with the blueprint and interesting with the simulation-ready, or SimReady, standardization effort, whereas Delta Electronics is including fashions of its tools. As a result of these are constructed with OpenUSD, customers get correct simulations of their facility tools. Jacobs helps take a look at and optimize the end-to-end blueprint workflow.
They be a part of leaders in knowledge middle energy and cooling options like Schneider Electrical with ETAP and Vertiv, which contribute SimReady belongings to populate the digital twin of the AI manufacturing facility with 3D fashions of energy, cooling and mechanical methods.
“As AI factories proceed to scale at an unprecedented tempo, the vitality calls for they generate are reshaping the complete digital infrastructure panorama,” mentioned Tanuj Khandelwal, CEO of ETAP, in a press release. “Utilizing the Omniverse Blueprint and SimReady belongings, prospects can take a look at and optimize vitality effectivity for the complexity and depth of their AI workloads earlier than even breaking floor.”
Connections to the Cadence Actuality Digital Twin Platform and ETAP present thermal and energy simulation, enabling engineering groups to check and optimize energy, cooling and networking lengthy earlier than building begins. These contributions assist Nvidia and its companions reshape how AI infrastructure is constructed to realize smarter designs, keep away from downtime and get probably the most out of AI factories.
“Digital twins are elementary to satisfy the escalating international demand for AI factories,” mentioned Ben Gu, company vice chairman of R&D for multiphysics system evaluation at Cadence, in a press release. “The mixing of the Cadence Actuality Digital Twin Platform with the Nvidia Omniverse Blueprint transforms the complete engineering course of to design AI factories extra effectively and function them extra successfully than ever earlier than. We’re excited to proceed our full-stack collaboration with Nvidia.”
Constructing SimReady belongings for AI factories
The OpenUSD-based fashions inside the blueprint are inherently SimReady, designed from the bottom as much as be physics-based. That is particularly worthwhile for creating and testing bodily AI and agentic AI inside these AI factories, enabling speedy and large-scale industrial AI simulations of energy and cooling methods, constructing automation and total IT operations.
A key enhancement to this blueprint is the SimReady standardization workflow. Initially developed as a SimReady standardization proposal to streamline NVIDIA’s inside creation of OpenUSD belongings, this now publicly out there, industry-agnostic useful resource provides standardized necessities and processes for creating SimReady capabilities. It empowers knowledge middle builders and homeowners to effectively set up, optimize and rigorously take a look at their very own digital twins of important infrastructure, notably for electrical and thermal administration inside AI factories.
A Smarter highway to AI infrastructure
The growth of the Nvidia Omniverse Blueprint for AI manufacturing facility digital twins marks a major leap ahead in how engineers design, simulate and construct the subtle infrastructure required for industrial AI.
By offering a unified and bodily correct digital twin, constructed on the sturdy basis of OpenUSD and guided by SimReady standardization, this blueprint permits the {industry} to de-risk growth, optimize efficiency and speed up the deployment of next-generation AI factories.
