Agentic workloads made KV caching the bottleneck; models are evolving to slash KV
appenz · x · 2026-09-11
Developer appenz notes the pace of model evolution: agentic workloads turned KV caching into the inference bottleneck, and models are now evolving to drastically reduce KV cache. He cites a chart from DeepSeek as evidence. The trend aligns with cache-once architectures like YOCO and directly affects inference cost and long-context throughput.
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