The Importance of Power and Cooling in AI Implementation
WWT, NVIDIA, and Schneider Electric: A powerhouse trio engineering your AI success with unmatched solutions. Make sure your infrastructure is ready for AI success by harnessing this unique synergy to leap ahead of the competition.
Fitting more IT gear into each rack is imperative to keep latency low and efficiency high.
More Power
It's a challenge to get enough power and back-up power into each rack.
Keeping it cool
More power equals more heat. AI clusters may require advanced cooling techniques, such as liquid cooling.
The Big Picture
Remote monitoring and management of the physical infrastructure is more important than ever.
The Verdict? Basic data center infrastructure just won't cut It. IT professionals must consider the advanced power and cooling needs of AI workloads before designing and building an AI solution.
Schneider Electric supports NVIDIA AI solutions with the infrastructure you need.
Success story: Boosting AI research with unmatched efficiency
Customer challenge:
A certified multi-tenant data center customer wanted to introduce a new GPU-as-a-service offering but needed integration support.
Solution:
They engaged WWT, who helped design a solution for high-performance computing based on NVIDIA architecture. Next, they had several consultation sessions specifically for power and infrastructure, as they learned the power element was just as complex as the computing element.
For power, WWT brought in Schneider Electric. Powered by NVIDIA's HGX™ 100, which is three times faster than the previous model, the customer upgraded to a higher-voltage power distribution system to support enhanced rack PDUs. High-density computing requires robust power distribution systems to ensure reliable and efficient electricity supply.
As AI continues to demand more from data centers, IT leaders must rethink infrastructure and incorporate advanced power distribution technologies to ensure optimal performance, reliability, and energy efficiency.
Learn how our customer embraces AI Transformation to offer GPU as a ServiceRead the case study
Advanced computing tasks demand tightly linked GPU clusters with optimized software support. The HGX 100 is up to the challenge.
30x faster and 3x more energy efficient at LLM inference than its predecessor
3x lower TCO and requires 5x fewer server nodes
20x more energy efficient than CPUs for HPC and AI workloads
Schneider solutions to empower your AI data center
RACKS
Quality-built racks that come in large sizes and load capacities to accommodate high-density AI servers
60 amp Rack PDUs to get more power into each rack, with higher amps planned for the future
Coming soon: Rack manifolds to easily connect servers to cooling systems
COOLING
Expertise and all required components to deploy the right air or liquid cooling system for your AI clusters, including:
Aisle and rack containment
Close-coupled cooling
Liquid cooling support like CDUs
POWER
UPS systems that can support 20–30kW to ensure your IT equipment is always up, always running
50–100kW UPS systems planned for the future
415 volts often needed
SOFTWARE AND CONTROL
EcoStruxure™ platform for monitoring and control— so you can optimize power utilization, get alerts to potential problems, and more
A full suite of DCIM solutions for planning, modeling (including digital twin), and managing your data center operations
The Importance of Power and Cooling in AI Implementation