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]: OffloadingConnector can silently return wrong output at exact chunk boundaries with mamba_cache_mode=all
- [Perf][MoE] Optimize deepep_v2 receiver CPU Overhead
- [CI Failure]: test_mha_attn_varlen_forward_aiter_fp8 — "invalid argument for fmha_fwd" on MI300X
- [Bug]: `enable_prompt_embeds` + `enable_lora` on Llama crashes with `illegal memory access` under concurrency
- [Bugfix] Reject duplicate ranks in tiktoken vocab files
- AITER is not enabled on RDNA3 (gfx1100) — integration gap between CDNA3 and RDNA4
- [Bugfix][Multimodal] Invalidate retained PyNvVideoCodec decoder after failure
- [Bug]: OffloadingConnector crashes at startup for Llama 4 models (ChunkedLocalAttentionSpec unhandled)
- Enable Speculative Decoding for NVIDIA-Nemotron-Parse-2.0
- [ROCm][MLA] Reach FULL cudagraphs for AITER MLA speculative decoding
- Docs
- Python not yet supported