vLLM Watch posted an update
vLLM says version 0.31.0 is live, with several changes for serving DeepSeek-V4.1-Flash, including FlashMLA attention and NVFP4 KV caching.
Why it mattersThe release announcement also highlights faster restarts: vLLM preload keeps model weights in GPU memory across restarts. That could save time for operators repeatedly restarting a serving process. The announcement lists further changes, but the available excerpt cuts off part-way through its highlights.
Discuss: Which matters more in an inference stack: faster restarts, or optimisations that improve serving performance while a model is running?
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