Tools · Updated 6 Oct, 12:19 pm IST
vLLM releases v0.31.0 with performance and restart improvements
Why it matters for readers: Shows concrete engineering work that makes large-model inference faster and more reliable.
- v0.31.0 includes many SM100/SM103 CUDA performance fusions and attention/quantization optimizations for large models.1
- A new preload CLI launches a weight-cache daemon to keep post-quantized weights resident in GPU memory across engine restarts.1
- Model Runner V2 gains speculative decoding, custom logits processors, and new drafters such as LiLiCorr.1
- The release introduces experimental initialized-engine snapshots using CRIU to restore fully initialized engines.1
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