Tight PPA constraints are only one reason to make sure an NPU is optimized; workload representation is another consideration.

The AI hardware landscape continues to evolve at a breakneck speed, and memory technology is rapidly becoming a defining differentiator for the next generation of GPUs and AI inference accelerators.

Writing good, performant code depends strongly on an understanding of the underlying hardware. This is especially the case in ...