GPUs have become the must-have compute of the dawning Age of AI. But maybe not every organization, or every job, demands these scarce, expensive-to-run processors.
For 10 years, Google produced TPUs, processors designed for machine learning (ML) workloads. But as more organizations began running more AI workloads, customers started making new demands, according to Andrei Gueletii, a technical solutions consultant for Google Cloud.
“People wanted to have more performance at the lower cost, at the lower power consumption, so more data centers…

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