The collaboration addresses the growing power demands of AI workloads, which require substantial computational power and lead to higher rack power densities in data centers. By introducing a "Grid to Chip" approach, ETAP and NVIDIA aim to improve power management, performance optimization, and energy efficiency. The digital twin technology enables precise modeling of dynamic load behavior at the chip level, enhancing data center efficiency and grid reliability. This initiative highlights the commitment of ETAP, Schneider Electric, and NVIDIA to drive innovation in the data center sector, empowering businesses to optimize operations and manage the challenges associated with AI workloads.
Key takeaways:
- ETAP and Schneider Electric have unveiled a digital twin to simulate AI Factory power requirements using NVIDIA Omniverse.
- The collaboration aims to enhance AI Factory design and operations by providing insights into electrical systems and power requirements.
- The digital twin integrates ETAP’s technology with NVIDIA Omniverse Cloud APIs for improved energy efficiency and predictive maintenance.
- The initiative addresses power management challenges in data centers, optimizing energy efficiency and infrastructure needs for AI workloads.