Opinion – Meeting the Data Center Capacity Demands Driven by AI
In this DCF 'Voices of the Industry' column, Steven Carlini, Vice President of Innovation and Data Center for Schneider Electric, explains why data center capacity must expand for AI to be able to meet its promise.
Carlini writes, "As experts lay out the roadmap for AI capabilities, many are suggesting that the automation and efficiencies AI will provide in many industries are not just “step changes,” but “leap changes.” He continues, "The missing component of this conversation is how important the underlying data center structure is to enable AI."
Farther down in the article, Carlini observes how: "Training LLM AI data centers is different than legacy data centers. The computers or servers are larger and heavier, have new components like GPU accelerators and DPUs, use more energy, and give off more heat."
The solution? Carlini advises, "The ideal arrangement is in a high-density cluster. All the GPUs, servers, and clusters operate in parallel or as one. This approach is much different than legacy servers all acting independently (serial vs parallel)."
Read on:
https://lnkd.in/eVREDxad
#datacenter #AI #infrastructure #LLM #GPU