August 23, 2026 · Sunday

SGLang cache daemon cuts 1T-model restart to 32 seconds

Keeping weights resident in GPU cache turns a crash into a near-instant recovery.

SGLang, with Ant Group and Alibaba, launched a Weight Cache Daemon that keeps model weights resident in GPU memory, so restarting a 1T-parameter model after a crash dropped from 8.8 minutes to 32 seconds.

The write-up details how the daemon sidesteps the cost of reloading trillion-scale checkpoints by caching weights and reattaching them to a fresh engine process. For inference operators running large models under load, the difference is the gap between a blip and an outage — and a strong argument for treating weights as hot, persistent state rather than something to reload from disk.

Data is computation at rest. Training resurrects it in silicon and sets it back in motion.

@_arohan_
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