Schneider Electric and AMD presented a reference design for deploying high-density AI infrastructure
Schneider Electric and AMD released a reference design for high-density AI data centers built on the AMD Helios platform – it supports racks up to 246 kW and clusters with up to 10.4 MW of IT capacity, and is intended for both new and retrofitted facilities.
Schneider Electric and AMD on Thursday released a jointly developed reference design (blueprint) intended to serve as a basis for data center operators deploying high-density AI infrastructure. The design is built on the AMD Helios platform for rackscale deployments and, according to the companies, supports AI racks with power densities of up to 246 kW and modular, multi-cluster environments with a total IT capacity of up to 10.4 MW. It is intended both for building new “AI factory" facilities and for retrofitting existing data centers with high-density infrastructure.
The design covers four areas: facility power, facility cooling, IT space and software-based lifecycle management. It uses the Schneider Electric ETAP and EcoStruxure IT Design CFD simulation tools, which are intended to enable operators to test, predict and manage infrastructure performance before deployment. It also includes real-time monitoring, AI-driven predictive maintenance and system-wide optimization across power, cooling and IT equipment.
According to Rob Bunger, Global Director of Data Center Solution Architecture at Schneider Electric, growing AI workloads are expected to push data center infrastructure to “unprecedented limits" in terms of power density, thermal demands and operational complexity. He says the reference design is intended to help operators move from planning to deployment faster, with greater confidence and lower risk.
The design was validated against US ANSI standards, and the companies say they plan to extend it to also meet international IEC standards for deployment outside the USA.
Why it matters
The design targets data center operators and companies planning their own AI infrastructure – it offers a ready-made, engineering-validated basis for addressing power and cooling for AI racks with extremely high power density, which existing standard data centers typically cannot handle. For a sector where access to electrical power is the main constraint on growth according to the companies, a standardized reference design may shorten the time from planning to actual deployment and reduce the risk of technical errors when building and upgrading facilities.
Relevant practical impact
What this means
For a business
Companies planning their own or a leased AI data center gain a ready-made, industry-validated basis for designing power, cooling and IT space for high-performance AI clusters, which may shorten planning time and reduce the risk of deployment errors.
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