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
- [LoRA][MoE] Expert LoRA for FlashInfer TRTLLM NVFP4 experts
- [ROCm][Perf] Muse Spark Open Shard residual stream across TP
- [Model] Load q/k/v scales for the quantized Kimi-K2.6
- [Perf][GLM-5.3-Flash] Specialized decode for GB300 TP4
- [ROCm][MoE] Move AITER MegaMoEV2 To Oracle
- [Entrypoint] Let the render server support api server count.
- [Bugfix][Multimodal] Budget encoder compute before video token pruning
- [Bugfix] Tell a stopped engine core apart from a dead one during AsyncLLM shutdown
- [ROCm][gfx1151] ROCM_RDNA_ATTN: attention backend for RDNA
- [ROCm][Perf] AITER FA: trim the sliding-window decode table with fewer ops
- Docs
- Python not yet supported