A growing number of AI processors are being designed around specific workloads rather than standardized benchmarks, optimizing performance and power efficiency, but often with enough flexibility to adapt to future changes.
While the fundamentals of matrix multiplication and software optimization still apply, those alone are no longer sufficient. Designs need to address specific data types, w...
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