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💡 AVEVA Enhances Efficiency in Hyperscale Data Centers
AVEVA offers an integrated digital twin infrastructure that optimizes power, cooling, and workload efficiency in large-scale computing facilities using virtual environments. This innovative approach is brought to life through an end-to-end digital twin simulation project developed in collaboration with Schneider Electric, Nscale, and Start Campus to model and optimize the physical infrastructure operations of AI data centers.
⚡ Powerful Integration with NVIDIA Omniverse DSX Blueprint
Built on the NVIDIA Omniverse DSX Blueprint, the Immersive Twin platform accelerates deployment in high-density data center ecosystems by combining power, cooling, and electrical models with AI workload requirements.
🌍 Implementation at the SINES Data Campus in Portugal
This simulation technology is being applied to operations at Nscale's SIN01 data center, located within the 1.2-gigawatt SINES Data Campus in Portugal. Developed by Start Campus, the facility is designed to support high-capacity AI processing and will house over 66,000 NVIDIA Rubin graphics processing units (GPUs). By creating a unified digital model of a deployment of this magnitude, operators can evaluate the thermal and electrical impacts of high-density computing clusters before performing physical hardware installations.
📊 Operational Data Integration and Simulation Mechanics
The digital twin infrastructure leverages the OpenUSD framework to cross-platform connect asset data from AVEVA, ETAP, Schneider Electric, and third-party vendors. The system ingests engineering and operational data to create simulations encompassing process behavior, electrical distribution, and liquid cooling loops. This capability allows facilities to run precise scenarios for hardware configurations; for example, modeling how an increase in rack power density affects the broader power chain, thereby reducing supply risks and minimizing physical infrastructure changes.
📈 Workload Efficiency and Lifecycle Management
For AI cloud platforms like Nscale, aligning physical infrastructure performance with computing requirements directly impacts token generation efficiency. AVEVA's software suite, including CONNECT, PI System, Unified Engineering, and Asset Information Management, provides continuous visibility into asset performance. By visualizing these metrics through NVIDIA Omniverse applications, operators manage the entire lifecycle of an AI factory, transitioning from initial facility design to continuous operational optimization based on active thermal and electrical loads.
🔍 AVEVA's Differentiation in the Competitive Landscape
In the data center infrastructure management (DCIM) and physics-based industrial simulation sector, AVEVA's software portfolio competes with solutions such as Siemens Xcelerator and Bentley Systems' iTwin framework. However, one of the key competitive differentiators of the AVEVA software ecosystem, working in conjunction with Schneider Electric hardware, is its native integration with the NVIDIA Omniverse DSX Blueprint. This architecture provides GPU-accelerated 3D visualization and simulation based on the OpenUSD standard, enabling simultaneous modeling of both physical cooling loops and specific IT workload outputs, such as AI token processing efficiency. While traditional DCIM platforms often monitor this data as separate data silos, AVEVA's integrated approach offers a comprehensive view.
