Morning Edition · Tuesday, October 20, 2026Published at 2:12 AM EDT · New York
On a single H800, the prototype replaced 64 shape-specific graphs, matched warmed-baseline latency, and cut graph-build time before serving from 3,915 ms to 93 ms, though only on synthetic traces.
Adaptive speculative decoding changes the active batch size B and the draft length d from one decode step to the next. A CUDA graph replays a fixed launch configuration. That mismatch forces serving systems into one of three costly choices…
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Part of a tracked trend
The Inference-Cost Efficiency Race
Techniques that cut tokens generated and KV-cache memory per query will keep compressing the marginal cost of serving reasoning models, making inference efficiency a recurring competitive axis alongside raw capability.
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