Optimizing rack power distribution for AI workloads: efficiency, density and TCO in AI data center
As AI workloads continue to drive the growth of hyperscale data centers, power flow optimization has become critical. In this webinar series, we'll explore the latest strategies and techniques for achieving best-in-class efficiency, power density, and Total Cost of Ownership (TCO), with with three separate session of AC-DC and DC-DC conversion, and on battery backup units.
Who should attend:
Data center engineers and architects
AI infrastructure designers and engineers
Hyperscale OEM & ODM hardware engineers and designers
Data center operators and facility managers
Anyone involved in the design, deployment, or operation of AI data centers
Sessions:
"Next-generation AI server SMPS across Si, SiC, and GaN"
"Powering AI data centers from 48 V to core"
“Ensuring continuous AI operation with efficient battery backup”
Key learnings:
Power flow optimization in AI data centers and its impact on efficiency, density, and TCO
Strategies and innovations for optimization at all stages, from the grid down to the processor
