vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- [KV Offload] Warn when secondary-tier KV is tied to the parallel config
- [Performance]: Long-prefill decode starvation survives prefill/decode interleaving — head-to-head from two stacks on 2× GB10, plus a 4×98k-prefill OOM boundary
- [KV Offload] Add valkey secondary tier
- [Perf][DiffusionGemma] Canvas packing + canvas swap: up to 10x lower short-request latency under load
- [Bug]: float32 models: Triton attention, prefill attention and fused-MoE kernels compute `tl.dot` in TF32 (~1e-2 error relative to output RMS instead of ~1e-5)
- [Usage]: cu129-nightly
- [Bugfix][Engine] Ignore clear_cache for pause mode=keep
- [Bug]: Misleading `--quantization gptq` suggestion in Marlin shape check (AWQ/GPTQ TP failures)
- [Bugfix][Kernel] Give float32 Triton attention and fused MoE float32 accuracy
- [CI] Preserve DockerHub cleanup pagination across filtered pages
- Docs
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