How to Design, Deploy, and Scale Liquid-Cooled Infrastructure for High-Density AI Workloads
An Executive Playbook for Liquid Cooling
Modern AI workloads are driving unprecedented rack densities and power draws, pushing traditional air-cooled data centers to their limits. Standard racks have historically had an average installed power of 10-20kW, but the current power requirements for a full rack of NVIDIA’s latest Blackwell NVL72 reaches 120kW.
The next generation of AI compute could push the power demand even further to 400kW and beyond. As AI and high performance computing (HPC) continue to increase in scale and complexity, liquid cooling has become a necessity.
In this playbook, we’ll discuss how to navigate the key decisions around AI infrastructure, including power, cooling, facility constraints, architecture designs, and more.
At AHEAD Foundry™, we help organizations navigate the rapidly evolving world of infrastructure for high-performance computing and AI. Our new 10MW Libertyville, IL liquid cooled rack integration facility lets us build, cable, configure, burn in, and test full racks in-house, reducing on-site remediation risk and helping you rapidly scale AI-ready infrastructure.
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