Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...
AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.
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