Nvidia paper shows transformer LLMs can be sparser, faster, and lighter without losing accuracy
YesThisIsLion · x · 2026-09-14
A new Nvidia paper tackles why LLMs don't run instantly despite 95% of feed-forward neurons staying silent for any given token: GPUs are built for dense, predictable math, and unstructured sparsity causes irregular memory access whose overhead historically erased the savings. The paper introduces a custom sparse approach proving transformer LLMs can be made sparser, faster, and lighter at the same time without losing accuracy.
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