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
- [Bug]: Error while trying Speculative Decoding on Intel XPU for Qwen/Qwen3.6-35B-A3B
- [Bug]: DeepSeek-V4 FlashMLA sparse prefill phase1.cuh:614 on H20-3e TP8 at ~161K context
- [Metrics] Add operation label to Prometheus latency histograms
- [Kernel] Add adaptive layouts to TRTLLM MXFP8 linear backend
- [Bug]: Recurring Xid 13 chip-wide warp errors (misaligned address / illegal instruction / out-of-range register) on SM120 under sustained multi-hour load — Nemotron-3.5-Lightning-30B-A3B-NVFP4, marlin MoE, hybrid Mamba
- Decode optimizations for NVIDIA confidential computing
- [Model][Generative Recommendation] Add HSTU model support to vLLM
- [Bug]: All GPTQ checkpoints fail with UR_RESULT_ERROR_DEVICE_LOST on Intel Arc B60 (XPU) at profile_run
- [Feature] Support batch invariance on ROCm
- fix(docs): correct "Mixture-of-Expert" to "Mixture-of-Experts" in README
- Docs
- Python not yet supported