Digital Event Horizon
NVIDIA has unveiled an expanded Omniverse Blueprint for AI factory digital twins, a revolutionary framework that unifies the design and simulation of billions of components required to build digital twins of AI factories. This blueprint enables the industry to de-risk development, optimize performance, and accelerate the deployment of next-generation AI factories, transforming the way industrial AI infrastructure is designed, simulated, and built.
NVIDIA expands its Omniverse Blueprint for AI factory digital twins, a framework that unifies design and simulation of billions of components. The blueprint features new integrations with industry leaders Delta Electronics, Jacobs, and Siemens to optimize AI factory power, cooling, and networking ecosystems. A key enhancement is the SimReady standardization workflow, empowering data center developers to efficiently establish, optimize, and rigorously test their own digital twins. The expanded blueprint enables industry-wide de-risking development, optimization of performance, and acceleration of AI factory deployment. Customers can use the Omniverse Blueprint to test and optimize energy efficiency for AI workloads before construction begins.
NVIDIA, a leader in cutting-edge technologies, has taken a significant step towards revolutionizing the way industrial AI infrastructure is designed, simulated, and built. The company's latest announcement marks a major expansion of its Omniverse Blueprint for AI factory digital twins, a framework that unifies the design and simulation of billions of components required to build digital twins of AI factories.
This groundbreaking blueprint is built on reference architectures for NVIDIA GB200 NVL72-powered AI factories and taps into Universal Scene Description (OpenUSD) asset libraries. This allows developers to aggregate detailed 3D and simulation data representing all aspects of the data center into a single, unified model, enabling them to design and simulate advanced AI infrastructure optimized for efficiency, throughput, and resiliency.
The expanded blueprint features new integrations across the AI factory power, cooling, and networking ecosystems with industry leaders Delta Electronics, Jacobs, and Siemens. These partnerships bring together diverse tools and technologies to optimize the design, simulation, deployment, and operations of AI factories. The unified framework unifies AI factory power, cooling, and networking components in one simulation, providing a comprehensive view of the entire infrastructure.
One of the key enhancements to this blueprint is the SimReady standardization workflow. Originally developed as a SimReady standardization proposal to streamline NVIDIA's internal creation of OpenUSD assets, this now publicly available, industry-agnostic resource offers standardized requirements and processes for developing SimReady capabilities. This empowers data center developers and owners to efficiently establish, optimize, and rigorously test their own digital twins of critical infrastructure, particularly for electrical and thermal management within AI factories.
The expansion of the NVIDIA Omniverse Blueprint for AI factory digital twins marks a significant leap forward in how engineers design, simulate, and build the sophisticated infrastructure required for industrial AI. By providing a unified and physically accurate digital twin, built on the robust foundation of OpenUSD and guided by SimReady standardization, this blueprint enables the industry to de-risk development, optimize performance, and accelerate the deployment of next-generation AI factories.
As AI factories continue to scale at an unprecedented pace, the energy demands they generate are reshaping the entire digital infrastructure landscape. Using the Omniverse Blueprint and SimReady assets, customers can test and optimize energy efficiency for the complexity and intensity of their AI workloads before even breaking ground. This forward-thinking approach is crucial in ensuring that industrial AI infrastructure is designed to meet the escalating global demand for such facilities.
The integration of the Cadence Reality Digital Twin Platform with the NVIDIA Omniverse Blueprint transforms the entire engineering process, allowing engineers to design AI factories more efficiently and operate them more effectively than ever before. The contributions from industry leaders like Siemens, Delta Electronics, Jacobs, Schneider Electric with ETAP, and Vertiv provide thermal and power simulation, enabling engineering teams to test and optimize power, cooling, and networking long before construction begins.
These partnerships demonstrate the growing ecosystem unifying the design and simulation of billions of components required to build digital twins of AI factories. The expanded blueprint will equip engineering teams with more tools for building AI factories, providing them with a comprehensive view of the entire infrastructure in physically accurate virtual environments.
The OpenUSD-based models within the blueprint are inherently SimReady, designed from the ground up to be physics-based. This is especially valuable for developing and testing physical AI and agentic AI within these AI factories, enabling rapid and large-scale industrial AI simulations of power and cooling systems, building automation, and overall IT operations.
As NVIDIA continues to push the boundaries of artificial intelligence infrastructure, its Omniverse Blueprint for AI factory digital twins serves as a testament to the company's commitment to innovation. With this expanded blueprint, the industry is poised to reap the benefits of more efficient, reliable, and scalable industrial AI infrastructure.
Related Information:
https://www.digitaleventhorizon.com/articles/NVIDIA-Unveils-Expanded-Omniverse-Blueprint-for-AI-Factory-Digital-Twins-A-Revolutionary-Leap-Forward-in-Industrial-AI-Infrastructure-deh.shtml
https://blogs.nvidia.com/blog/omniverse-blueprint-ai-factories-expands/
https://blogs.nvidia.com/blog/omniverse-blueprint-ai-factory/
https://build.nvidia.com/nvidia/digital-twins-for-ai-factories
Published: Mon May 19 01:54:32 2025 by llama3.2 3B Q4_K_M
