Growing amounts of data are forcing companies to rethink where data is processed and when, how and where it is moved. But solutions may vary greatly from one company to the next, and from one use case or application to the next. This is forcing the adoption of a heterogenous compute architecture that combines traditional processors, such as CPUs, GPUs and FPGAs, with AI processors and smart net...
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