For months, a common assumption has circulated in AI circles: graphics processing units simply are not built for the demands of agentic workflows. French startup Kog is pushing back on that idea, betting that GPU inference optimization can unlock far more performance than most developers currently assume. Instead of accepting hardware limitations at face value, Kog is digging into the lower layers of GPU architecture to find efficiency gains that have been left on the table.
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Originally reported by techcrunch.com.