CREDIT: EATON
EDGE COMPUTING
The explosive growth of AI workloads has created an unprecedented challenge for data centre operators: managing sudden, severe power fluctuations that threaten facility infrastructure and the wider electrical grid.
As GPU servers execute intensive AI computations, they generate unforeseen energy spikes – a phenomenon known as AI power bursting – that can exceed the capacity limits of existing systems.
Intelligent power management company Eaton has developed what it describes as an industry-first solution to address this mounting concern. Through a firmware update for its Power Xpert quality( PXQ) event analysis system, the company enables data centre operators to detect subsynchronous oscillations( SSO) in real time, allowing them to take preventive action before equipment damage occurs.
The edge analytics capability arrives as data centres worldwide grapple with AI’ s soaring energy demands, which far surpass anything the industry has previously encountered.
These large load fluctuations can cause transformer overheating, ferro resonant damage and other catastrophic impacts to equipment, making early detection essential for operational continuity.
Managing power at the edge Eaton’ s approach uses sophisticated edge analytics directly within the PXQ meter, a versatile power quality device already deployed in switchgear,
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