Nested CUDA graphs trade 33.2% longer cold start for faster steady state

cfregly · x · 2026-10-22

Follow-up measurement: with nestedgraphbreaks enabled, the sum of the first ten synchronized compiled-call intervals rose from 2.411s to 3.212s (+33.2%), with nearly all the overhead concentrated in call 1 (0.79–0.88s extra). Calls 2–10 were faster. Net verdict: a steady-state win with a disclosed cold-start cost — measure first use separately from repeated execution.

Related event: Nested CUDA Graphs in PyTorch 2.14 deliver 4.5x steady-state speedup on B200 at 33% cold-start cost(6 posts)→

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