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Compute Clusters Break Out Of National Labs To Scale AI
['Liz Allan', 'Technical Paper Link', 'Tom Katsioulas', 'Alex', 'Matt Bailey', 'Alexis R. Ware', 'Yağız Boz', 'Murugavel Ganesan', 'F. Chen', 'B.S. Deepaksubramanyan']
Semiconductor Engineering
SE: How do you define a compute cluster, and what does a chip architect need to know?
Emmer: From a chip architect’s point of view, a compute cluster is not just a collection of servers.
Maybe there are big companies with that much inference demand, but training typically requires large clusters to be available and pipelined.
SE: Compute clusters are common in AI laboratories, life sciences, high-frequency trading, and other specialized applications.
It is something that we are doing in the U.S., and we have several of these exascale compute clusters already operational.