Global energy technology leader Schneider Electric, industrial software leader AVEVA, full-stack AI cloud platform Nscale, and data center developer and operator Start Campus, today announced the successful pilot of an end-to-end digital twin developed using the NVIDIA Omniverse DSX Blueprint, part of NVIDIA DSX Sim.
The Immersive Twin pilot marks a significant step toward bringing Schneider Electric’s digital twin technology, powered by AVEVA software, into real-world AI infrastructure, allowing Nscale to accelerate token production and optimize token efficiency.
The deployment is focused on Nscale’s operations within the , developed by Start Campus. As one of Europe’s largest and most sustainable AI factories, the SINES Data Campus is designed to support successive generations of AI infrastructure. It will soon become home to more than 66,000 NVIDIA Rubin GPUs, representing one of the largest AI deployments in the region. By combining engineering and operational data with advanced power and cooling simulations and workload requirements, the new Schneider Electric and AVEVA Immersive Twin provides a unified view of data center performance to help identify opportunities to optimize infrastructure before changes are implemented on-site.
Using the digital twin, Nscale expects to achieve faster time to token, greater token efficiency, enhanced operations, increased flexibility, and reduced risk when updating or modifying its technology stack.
"Working with Start Campus, Schneider Electric and NVIDIA, we’re using digital twins to model how AI data centers operate in the real world — from power and cooling to token delivery,” said David Power, Chief Technology Officer at Nscale. “This gives us a clearer view of where full-stack optimizations can be realized before changes are made on the ground. It’s about using intelligence and simulation to build and operate AI infrastructure more efficiently, and sustainably at scale.”
"Working with Start Campus, Schneider Electric and NVIDIA, we’re using digital twins to model how AI data centers operate in the real world — from power and cooling to token delivery,” said David Power, Chief Technology Officer at Nscale. “This gives us a clearer view of where full-stack optimizations can be realized before changes are made on the ground. It’s about using intelligence and simulation to build and operate AI infrastructure more efficiently, and sustainably at scale.”
Complete End-to-End Experience and Collaboration
The successful pilot reflects the strength of a collaborative, end-to-end approach, bringing together complementary expertise from across the AI ecosystem, including energy management, engineering, simulation and AI infrastructure operations to create a more complete view of data center performance.
The Immersive Twin pilot supports the full lifecycle of AI factories—from design through operations—by building an OpenUSD-based digital twin that connects Schneider Electric, ETAP, AVEVA, and third-party technologies. It enables rapid “what-if” scenario testing across power, cooling, and process behavior to validate design decisions, assess upgrade impacts, reduce procurement risk, and continuously optimize performance by linking IT and OT data. In parallel, it advances interoperability through simulation-ready asset files, accelerating seamless integration into digital twins.
Start Campus provides the real-world infrastructure, engineering expertise and operational environment to demonstrate how digital twin technology can transform the design, development and operation of AI data centers. Bringing this data, technology and expertise together enables Nscale to use the digital twin to model and test “what-if scenarios” for new configurations or technologies before implementation, speeding up deployment times while significantly reducing risk.
“Building a credible, end-to-end digital twin requires collaboration across the AI ecosystem,” said Pankaj Sharma, Executive Vice President, Software & Service with Schneider Electric. “By advancing energy tech, and connecting Nscale’s workload and IT infrastructure requirements with Start Campus’s physical facility and infrastructure data, while pairing it with Schneider’s digital twin technology, we’re bringing together critical perspectives needed to model AI factories more holistically and identify opportunities to optimize performance, efficiency and token production.”
“Building a credible, end-to-end digital twin requires collaboration across the AI ecosystem,” said Pankaj Sharma, Executive Vice President, Software & Service with Schneider Electric. “By advancing energy tech, and connecting Nscale’s workload and IT infrastructure requirements with Start Campus’s physical facility and infrastructure data, while pairing it with Schneider’s digital twin technology, we’re bringing together critical perspectives needed to model AI factories more holistically and identify opportunities to optimize performance, efficiency and token production.”
"AI infrastructure needs to evolve as quickly as the technology it supports,” added Robert Dunn, Chief Executive Officer at Start Campus. “Our collaboration with Schneider Electric, Nscale and NVIDIA has taught us that operators and customers design, develop and operate data centers best when they work from the same model. By using digital twin technology to simulate how a jump in rack density moves through the power train and the liquid cooling loop before it becomes a physical reality, we can test new hardware generations, agree the configuration with our customer and build it once. That accelerates deployment, improves efficiency and maximizes the value of every megawatt. This is an important step towards delivering resilient AI infrastructure at scale."
"AI infrastructure needs to evolve as quickly as the technology it supports,” added Robert Dunn, Chief Executive Officer at Start Campus. “Our collaboration with Schneider Electric, Nscale and NVIDIA has taught us that operators and customers design, develop and operate data centers best when they work from the same model. By using digital twin technology to simulate how a jump in rack density moves through the power train and the liquid cooling loop before it becomes a physical reality, we can test new hardware generations, agree the configuration with our customer and build it once. That accelerates deployment, improves efficiency and maximizes the value of every megawatt. This is an important step towards delivering resilient AI infrastructure at scale."
Building on Existing Collaboration
This latest pilot expands Schneider Electric, AVEVA and ETAP’s work with NVIDIA. Last year, the three companies joined the Alliance for OpenUSD (AOUSD) to accelerate digital twin and AI factory development through the NVIDIA Omniverse DSX Blueprint.
Additionally, the companies continue to collaborate on reference architectures, integrated infrastructure and software solutions that will power and cool the next generation of AI factories, and use NVIDIA Omniverse libraries to simulate and improve energy efficiency in real-world environments.
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