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autotune

autotune

Jun 30, 2026 AI & Machine Learning
kv-cache llm-inference local ai optimization quantization

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Time to first token is 39% faster Agent wall times decrease by 46% No swapsTracks your resource usage in real-time and adjusts how the model runs so that it works perfectly on your device.Implements KV cache sizing, prefix caching, live RAM pressure management, context trimming, KV quantization, and more.Built a ton of features

Comments (8)

Alison Weber Alison Weber 1 month ago

whats the monitoring overhead though

Miles Reinger Miles Reinger 1 month ago

need to see benchmarks vs vllm and tensorrt-llm, those are already fast

Destiny Rath Destiny Rath 1 month ago

46% reduction in wall time is wild

Lucio Kemmer Lucio Kemmer 1 month ago

what inference stack was this benchmarked on

Stephon Kovacek Stephon Kovacek 1 month ago

does this sit above vllm or replace it entirely

Albertha Kulas Albertha Kulas 1 month ago

39% faster than what baseline, and on which hardware config

Chet Weber Chet Weber 1 month ago

real-time tracking overhead likely cuts those gains in half

Laurel Flatley Laurel Flatley 1 month ago

46% less wall time is huge