~50us per kernel launch possible, but only by forking a custom single-model inference stack
AlpinDale · x · 2026-09-24
AlpinDale discusses inference optimization trade-offs: you can push kernel launch latency down to 50us, but only by specializing to a specific model shape or workload. Big frameworks must run all models on all hardware configurations, so they can't match custom inference software that serves one singular model on your own 5090. This explains why bespoke inference stacks often beat general frameworks on latency.
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