AI workloads accelerate adoption of modular data centers
By Mark Jaggers, Sr Director Analyst at Gartner
The unique power density and cooling requirements of AI infrastructure are pushing enterprise data centers beyond their original design limits. Many existing on-premises facilities were not built to support the thermal characteristics, higher rack densities, or liquid cooling technologies now required for AI workloads. As a result, organizations face significant challenges retrofitting traditional data centers, slowing adoption and constraining the pace at which AI capacity can be deployed on-premises.
In response, heads of infrastructure and IT operations are increasingly evaluating prefabricated modular data centers (PMDCs) as a way to achieve faster time to usability while supporting near-term capacity build-out.
Modular and containerized data center concepts are not new. Early examples, such as Sun’s Project Blackbox introduced in 2006, demonstrated the viability of fully integrated data center infrastructure packaged for rapid deployment in military, remote, or disaster recovery environments. However, these capabilities historically...
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