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
- [RFC]: Native Text Watermarking Support
- [ROCm][CI] ROCM_AITER_FA MLA prefill backend never exercised in nightly CI
- [Feature] Add request-static YaRN profiles for mRoPE
- [Bug]: crashed engine leaks /dev/shm/vllm_offload_*.mmap, making every in-place container restart fail at SharedOffloadRegion init
- [Kernel] Add a FlashInfer SM90 MXFP4 x FP8 fused MoE backend
- [Model]: GLM-5.3-Flash (glm5_next): no sparse-MLA attention path on Ada (sm_89, RTX 4090)
- [ROCm][CI] Add multi-GPU test groups for nightly-log-confirmed skips (#53840)
- [Spec Decode] Enable adaptive DSpark verification for Qwen GDN
- [Bug]: VLLM_PLE_CPU_OFFLOAD deadlocks at kernel warmup on single GPU (TP=1) - Qwen3.8-Flash-Next on GB10/sm_121
- GLM-5.3-Flash (glm5_next): no SM120 sparse-MLA path for rope-free MLA (qk_rope_head_dim=0) — three failure modes on RTX PRO 6000
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