Everyone says AI needs more GPUs. I profiled one and it was sitting idle most of the time, just waiting on data. how much of the "GPU shortage" is actually wasted GPUs?
Summary
Analysis showing that GPUs used for AI training often sit idle waiting for data, questioning the severity of the GPU shortage.
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Behind millions of dollars of funding in AI sit enterprises with just a 5% average utilisation rate. Inference cost plus cost of ownership also rose to 41% from 34%
Enterprises that rushed to buy massive GPU fleets for AI now face low utilization rates (5%) and rising costs (inference cost plus cost of ownership rose to 41% from 34%), highlighting significant infrastructure inefficiencies in AI deployment.