Nvidia and Schneider Electric Test AI Data Center Twin
The collaboration uses digital twins to simulate power and cooling capacity for high-density AI infrastructure deployments.
Updated on Oct. 21, 2026 in Data Centers
Live Poll
Do you believe digital simulation tools will successfully lower infrastructure costs for companies?
Nvidia and Schneider Electric have successfully tested a digital twin at the SINES data center campus in Portugal to model AI workloads, power consumption, and cooling efficiency. The project, which utilizes the Nvidia Omniverse DSX Blueprint framework, allows operators to simulate infrastructure changes before implementation.
Why it matters
Digital twins provide a critical simulation layer that helps operators determine if existing facility architectures can support denser AI hardware. This approach aims to reduce the need for physical redesigns and prevent deployment delays as power and cooling requirements intensify.
The system utilizes the Nvidia Omniverse DSX Blueprint framework to integrate facility engineering data with power and cooling simulations. It provides a virtual representation of the SIN01 facility, allowing for predictive analysis of hardware load impacts on site infrastructure.
The players
Nvidia
A semiconductor company known for its graphics processing units and specialized platforms like Omniverse for industrial simulation.
Schneider Electric
An energy management and automation firm providing infrastructure solutions and software for data center power and cooling.
AVEVA
An industrial software developer specializing in engineering and operations technology integration.
Start Campus
The operator of the SINES data center campus in Portugal where the test took place.
The details
The digital twin operates by ingesting facility engineering and operational data into a unified simulation environment. By running power and cooling models against projected AI hardware densities, operators can test how infrastructure components respond to heat and electrical stress. This virtual modeling allows for identifying potential bottlenecks in thermal management or power distribution before physical modifications are made to the data center.
Timeline
October 21, 2026: The project testing was documented.
The Tech Race
This project represents an expansion of digital twin technology from manufacturing workflows into the specialized domain of data center infrastructure management. It follows the broader industry trend of using simulation to optimize facility resilience against the intense thermal profiles of modern AI hardware.
This technology is targeted at infrastructure operators managing high-density AI clusters who need to avoid downtime during hardware upgrades. It is not currently a consumer-facing tool but establishes a workflow for retrofitting data centers that may eventually streamline the deployment timeline for new AI services.
The takeaway
Digital twins are becoming a standard requirement for managing the unpredictable thermal demands of next-generation AI hardware. Observers should track the integration of these models into broader data center management platforms to see if simulation-led planning replaces traditional physical prototyping.
Further reading
Explore the latest developments in facility management and infrastructure at Data Centers.
Source note: This article includes information reported by TechTarget.
Live Poll
Do you believe digital simulation tools will successfully lower infrastructure costs for companies?
