AI is rapidly transforming data center design, driving a new level of densification across the industry. As GPU-intensive workloads scale, operators are packing significantly more compute power into the same physical footprint, which results in higher kW per rack, greater heat output, and increased demands on power and cooling infrastructure.
Managing densification effectively demands more than isolated upgrades. It calls for AI-ready infrastructure built on a foundation of integrated, intelligent power, cooling, and monitoring solutions that work together seamlessly to protect high-value investments and prevent costly downtime.
Data center operators need to adopt a unified, end-to-end approach to critical infrastructure to address densification from every angle, spanning liquid cooling, power distribution, software, and services.
From grid to GPU: The full power path
AI workloads don’t just increase compute density but also redefine the entire power path. Enterprises that view power delivery—from grid to chip—as an integrated system are taking a more strategic approach to infrastructure. The entire powertrain is critical to success, and power distribution is now just as critical as compute itself. In this article, we’ll focus on 3-phase PDUs and their role in high-density power distribution.
Rack density: How AI changes the game
Historically, racks that could handle 40kW served traditional compute quite well. Today’s AI workloads, like those running on NVIDIA’s GB300—require up to 142kW per rack, more than triple the previous capacity in the same footprint.
Upgrading from CPUs to GPUs isn’t just about new processors; it’s about redefining infrastructure. Power distribution, including PDUs, must scale with GPU loads to safely deliver dramatically higher power levels in more dynamic conditions.
Where rack “clusters” once required up to 500kW of support, 2.5MW has become a typical cluster building block. This represents the true densification challenge: how do we best deliver exponentially more power within the same or smaller data center footprint while maintaining resilience, reliability, and availability objectives?
Why reliability and visibility matter
AI workloads leave no room for error. Power failures or power quality issues can bring entire compute clusters offline—halting innovation and costing millions.
Schneider Electric takes a comprehensive, engineered approach that unites hardware, metering, monitoring, and services into a resilient ecosystem. This three-part union forms a robust infrastructure, hardened against power failures, equipment faults, and capacity overloads.
Galaxy PDU 1000kVA: Powering the next generation of AI infrastructure
At the heart of our densification strategy is the new Galaxy PDU 1000kVA—purpose-built for AI and HPC workloads.
The new Galaxy PDU has a capacity for 1,000kVA (1 MVA) to support high-density AI clusters. It boasts a 3-phase design of an input section, step-down transformer, output distribution, and integrated metering. The input is 480V 3-phase and the output is 400 or 415V.
The Galaxy 1000kVA simplifies deployment, reduces commissioning time, and minimizes footprint. The result: more power in less space, with faster time to operation.
Software and services: Completing the densification ecosystem
Hardware is only half the story. Software and services tie the infrastructure together, ensuring that every system runs at peak operational efficiency. Schneider Electric also offers expert services for deployment, maintenance, and optimization to complement our software solutions.
EcoStruxure IT is our vendor-neutral software ecosystem with IT Expert capabilities. EcoStruxure IT Expert provides vendor-neutral DCIM with real-time monitoring, predictive analytics, and remote management capabilities.
Future-ready infrastructure for AI growth
AI transformation demands a holistic infrastructure strategy, and Schneider Electric delivers integrated solutions across power, cooling, monitoring, and deployment to support your AI transformation journey. The addition of the new Galaxy PDU 1000kVA strengthens our already comprehensive AI infrastructure portfolio, helping customers meet the densification challenge with confidence.
Contact us to discuss your specific requirements.
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