Schneider Electric announced that it's expanding its collaboration with NVIDIA! The goal is to develop gigawatt-scale AI data centers, and this exciting news was shared during their participation in the NVIDIA GTC conference.
This new partnership includes launching a special reference design based on the NVIDIA Vera Rubin NVL72 platform. Think of it as a complete blueprint for the power and cooling systems in modern data centers. This design will help run large-scale AI systems super efficiently, boosting processing power while cutting down on energy use.
Advanced Power and Cooling Design
The new design features a sophisticated power distribution system that can handle up to 480 volts. It also makes cooling more efficient by allowing higher operating temperatures. Plus, it supports innovative designs for IT rooms that bring AI units together in one integrated structure, all to maximize performance and improve energy consumption.
Taking things a step further, AVEVA revealed that it's developing a comprehensive digital twin architecture for the entire lifecycle of AI factories. This is happening in collaboration with NVIDIA, right within the NVIDIA Omniverse environment.
This amazing technology allows for multi-domain simulations, covering everything from power and cooling systems to airflow. This helps improve designs, speed up deployment, and reduce risks even before anything is built in the real world. These digital design tools and precise simulation models also help cut costs and accelerate "time to token," which really boosts how efficiently data centers operate.
AI for Operations Management
The company also announced that it's testing the NVIDIA Nemotron model for managing alarms in data centers using AI. This smart system analyzes data in real-time, diagnoses problems, and even suggests solutions automatically! This means faster responses, fewer outages, and overall better operational efficiency.
Boosting Infrastructure for the Next Generation
This collaboration is all part of a shared strategy to develop a fully integrated digital infrastructure. Its purpose? To support the next generation of AI factories, focusing on top-tier performance and energy efficiency. This move perfectly aligns with the rapidly growing global demand for AI technologies.
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