Nvidia at the moment introduced a big growth of the Nvidia Omniverse Blueprint for AI manufacturing facility digital twins, now obtainable 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 parts required to construct digital twins of AI factories. The expanded blueprint will equip engineering groups to design, simulate and optimize total 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 mixture detailed 3D and simulation knowledge representing all features of the information heart 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. In the present day, Nvidia introduced that new companions are contributing to the framework.
Siemens is constructing 3D fashions in keeping with the blueprint and fascinating with the simulation-ready, or SimReady, standardization effort, whereas Delta Electronics is including fashions of its gear. As a result of these are constructed with OpenUSD, customers get correct simulations of their facility gear. Jacobs helps take a look at and optimize the end-to-end blueprint workflow.
They be part of leaders in knowledge heart 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 techniques.
“As AI factories proceed to scale at an unprecedented tempo, the power calls for they generate are reshaping the complete digital infrastructure panorama,” stated Tanuj Khandelwal, CEO of ETAP, in an announcement. “Utilizing the Omniverse Blueprint and SimReady belongings, prospects can take a look at and optimize power 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 attain smarter designs, keep away from downtime and get essentially the most out of AI factories.
“Digital twins are elementary to satisfy the escalating international demand for AI factories,” stated Ben Gu, company vp of R&D for multiphysics system evaluation at Cadence, in an announcement. “The combination 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 helpful for creating and testing bodily AI and agentic AI inside these AI factories, enabling fast and large-scale industrial AI simulations of energy and cooling techniques, constructing automation and general IT operations.
A key enhancement to this blueprint is the SimReady standardization workflow. Initially developed as a SimReady standardization proposal to streamline NVIDIA’s inner creation of OpenUSD belongings, this now publicly obtainable, industry-agnostic useful resource provides standardized necessities and processes for creating SimReady capabilities. It empowers knowledge heart 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 big leap ahead in how engineers design, simulate and construct the delicate 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 allows the {industry} to de-risk growth, optimize efficiency and speed up the deployment of next-generation AI factories.
