Schneider Electric (NYSE:SNDR), industrial software provider AVEVA, AI cloud infrastructure company Nscale and data center developer Start Campus have completed a pilot deployment of an end-to-end digital twin using the NVIDIA Omniverse DSX Blueprint.
The project, known as the Immersive Twin, is being implemented within Nscale’s operations at the SIN01 data center at the SINES Data Campus in Portugal.
The technology combines engineering information, operational data, power and cooling simulations, and AI workload requirements to create a virtual representation of data center infrastructure.
The companies said the pilot is intended to help operators assess infrastructure configurations, evaluate proposed changes and identify opportunities to improve computing efficiency before modifications are made to physical facilities.
What Have Schneider Electric, Nscale and Start Campus Announced?
The companies announced the completion of a pilot that integrates Schneider Electric’s digital twin technology, powered by AVEVA software, with NVIDIA’s Omniverse DSX Blueprint.
The project is designed to provide a digital representation of AI data center operations, incorporating information from both physical infrastructure and computing systems.
By bringing together data on electrical distribution, cooling systems, engineering design and AI workloads, the platform enables operators to simulate different operating conditions.
Nscale is using the technology to assess potential improvements to its AI infrastructure, including the efficiency of token generation and the effects of changes to computing hardware.
The announcement describes a completed pilot rather than a full commercial deployment across all facilities at the SINES Data Campus.
Where Is the Digital Twin Technology Being Deployed?
The Immersive Twin pilot is focused on Nscale’s operations within the SIN01 data center at the SINES Data Campus in Portugal.
The campus is being developed by Start Campus and has a planned power capacity of 1.2 gigawatts.
The facility is designed to accommodate successive generations of AI computing infrastructure and the associated requirements for electricity distribution and cooling.
According to the announcement, the campus is expected to accommodate more than 66,000 NVIDIA Rubin graphics processing units (GPUs).
The companies did not specify when all the planned GPUs will be installed or become operational.
The digital twin pilot uses the facility’s engineering and operational environment to evaluate how infrastructure changes could affect computing performance.
What Is the NVIDIA Omniverse DSX Blueprint?
The NVIDIA Omniverse DSX Blueprint is a framework for developing digital twins of AI infrastructure.
It forms part of NVIDIA DSX Sim and supports the creation of virtual environments that represent the physical and operational characteristics of data centers.
The framework allows engineering models and operational information from different systems to be combined into a shared simulation environment.
For this pilot, the technology connects software and infrastructure data from Schneider Electric, AVEVA, ETAP and third-party systems.
The objective is to provide a consistent model through which data center operators can assess proposed infrastructure changes and their potential effects before physical implementation.
How Does the Immersive Twin Work?
The Immersive Twin combines information about a data center’s physical infrastructure with data relating to computing workloads.
This includes electrical systems, cooling equipment, facility engineering, operational processes and the requirements of AI computing hardware.
The platform uses these inputs to simulate how different parts of a facility interact under changing operating conditions.
For example, operators can model the effects of installing computing equipment with higher power requirements and assess how those changes could affect electrical distribution and cooling capacity.
The simulations can be used to evaluate proposed configurations, identify infrastructure constraints and support engineering decisions.
The system is based on OpenUSD, a framework for describing and exchanging three-dimensional digital environments.
How Could the Technology Improve AI Computing Efficiency?
Nscale intends to use the digital twin to identify opportunities to improve the relationship between infrastructure resources and AI computing output.
One area of focus is token production, which refers to the generation and processing of units of text or other information by AI models.
The companies expect the technology to help reduce the time required to make computing capacity available for token generation and improve the efficiency of the underlying infrastructure.
Potential improvements include better coordination between computing workloads, electrical systems and cooling capacity.
The digital twin also allows proposed changes to be evaluated before implementation, potentially reducing the need for physical adjustments during deployment.
However, the announcement does not provide measured improvements in token production, energy consumption or operating costs resulting from the pilot.
What Did Nscale Say About the Project?
David Power, Chief Technology Officer at Nscale, commented on the use of digital twin technology to model AI infrastructure.
“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,” Power said.
“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.”
The comments reflect Nscale’s intention to use simulation technology when planning changes to its computing infrastructure and associated facility systems.
How Does the Digital Twin Support Data Center Design and Operations?
The Immersive Twin is designed to support different stages of the data center lifecycle, from initial engineering and design through to operational management.
During the design phase, the platform can be used to evaluate equipment configurations and assess the effects of proposed infrastructure changes.
During operations, it can incorporate information from existing systems to simulate changes in power demand, cooling requirements and computing workloads.
The technology also supports scenario testing, allowing operators to examine the potential effects of equipment upgrades or changes in rack density.
By evaluating these conditions in a virtual environment, operators can identify potential constraints before making changes to the physical facility.
The companies expect this approach to support infrastructure planning and reduce certain implementation risks.
What Role Does Schneider Electric Play in the Collaboration?
Schneider Electric is contributing its energy management and digital twin technologies to the project.
Its systems are being combined with software from AVEVA and ETAP to provide information about data center infrastructure and operational requirements.
The company is also working with the other participants to integrate physical facility data with Nscale’s computing workload requirements.
Pankaj Sharma, Executive Vice President, Software & Service at Schneider Electric, commented on the collaboration.
“Building a credible, end-to-end digital twin requires collaboration across the AI ecosystem,” Sharma said.
“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.”
The announcement does not disclose the financial terms of Schneider Electric’s participation.
What Is AVEVA’s Contribution to the Immersive Twin?
AVEVA is providing industrial software capabilities that support the integration and use of engineering and operational information.
Its technology forms part of the digital twin environment used to represent infrastructure and operating processes at the data center.
The project brings together AVEVA software with Schneider Electric and ETAP technologies to support simulations involving electrical systems, cooling equipment and facility operations.
The integration is intended to allow information from different infrastructure systems to be used within a common digital model.
AVEVA’s involvement also builds on its existing collaboration with Schneider Electric and NVIDIA in digital twin development.
Why Is Start Campus Involved in the Project?
Start Campus is the developer and operator of the SINES Data Campus, where the pilot is being implemented.
The company provides the physical facility, engineering information and operational environment required to test the digital twin.
Its involvement allows the simulation platform to incorporate data from an operating data center rather than relying exclusively on theoretical infrastructure models.
Robert Dunn, Chief Executive Officer at Start Campus, explained the company’s approach.
“AI infrastructure needs to evolve as quickly as the technology it supports,” Dunn said.
“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.”
The pilot provides Start Campus with a method for evaluating proposed infrastructure configurations alongside its customers before installation.
How Could Digital Twins Help Manage Higher-Density AI Hardware?
AI computing systems can require substantial electrical power and cooling capacity, particularly as more powerful hardware is installed within individual equipment racks.
The Immersive Twin allows operators to simulate changes in rack density and assess the resulting effects on electrical and cooling infrastructure.
For example, a proposed increase in computing equipment density can be evaluated to determine whether existing power distribution and liquid cooling systems can support the additional requirements.
Operators can then assess alternative configurations or infrastructure modifications before proceeding with installation.
The companies expect this capability to support the introduction of successive generations of AI hardware at the SINES Data Campus.
No specific reductions in installation time or infrastructure expenditure were quantified in the announcement.
How Does the Project Build on Schneider Electric’s Existing Work With NVIDIA?
The Immersive Twin pilot extends an existing collaboration involving Schneider Electric, AVEVA, ETAP and NVIDIA.
The companies joined the Alliance for OpenUSD in 2025 to support the development of interoperable digital twin technologies.
Their work has included reference architectures, integrated infrastructure systems and software intended for AI data center applications.
The collaboration also involves using NVIDIA Omniverse libraries to simulate infrastructure performance and evaluate energy efficiency.
The latest pilot applies these technologies within an operating data center environment, combining facility information with AI computing requirements.
What Is the Significance of the Planned 66,000 NVIDIA Rubin GPUs?
The SINES Data Campus is expected to accommodate more than 66,000 NVIDIA Rubin GPUs.
Rubin represents a generation of NVIDIA AI computing hardware intended for advanced training and inference workloads.
The planned installation would create substantial requirements for electricity supply, cooling and supporting infrastructure.
The Immersive Twin is intended to help operators evaluate these requirements and assess how future hardware configurations could affect facility operations.
The announcement does not provide a timetable for completing the GPU deployment or specify the total investment associated with the planned installation.
It also does not establish how much of the planned computing capacity is currently operational.
Does the Announcement Include Financial Terms or Revenue Forecasts?
The companies did not disclose financial terms for the Immersive Twin pilot.
No contract value, project revenue contribution or capital expenditure commitment specifically associated with the digital twin deployment was provided.
The announcement also does not include financial forecasts relating to the technology’s expected effect on Schneider Electric, AVEVA, Nscale or Start Campus.
Although the companies identified potential operational benefits, including improved token efficiency and faster infrastructure deployment, they did not provide independently quantified performance results.
Consequently, the direct financial effect of the pilot cannot be determined from the information released.
What Should Investors Monitor Following the Pilot?
The completed pilot establishes an operational application of the NVIDIA Omniverse DSX Blueprint at Nscale’s SIN01 facility.
Further developments may include broader deployment of the technology, additional integration with data center infrastructure and the publication of measurable operating results.
Relevant indicators would include changes in infrastructure deployment times, energy consumption, cooling performance and computing output.
The planned installation of more than 66,000 NVIDIA Rubin GPUs at the SINES Data Campus also represents a future infrastructure development that could increase the importance of power and cooling management.
The companies have not announced a timetable for expanding the pilot or provided quantified financial benefits.
More About Schneider Electric, AVEVA, Nscale and Start Campus
Schneider Electric is an international energy technology company providing electrical equipment, automation systems, software and services for buildings, data centers, industrial facilities and infrastructure.
AVEVA is an industrial software company headquartered in Cambridge, United Kingdom. Its products support engineering, operational data management and industrial processes.
Nscale is a full-stack AI cloud infrastructure provider offering computing, software and data center capabilities for AI training and inference.
Start Campus develops and operates data center infrastructure, including the SINES Data Campus in Portugal, which has a planned capacity of 1.2 gigawatts.
The companies are collaborating with NVIDIA to develop and evaluate digital twin technology for AI data center infrastructure.