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
- Multitenant kvcache
- [Bug][vllm-omni] Qwen3-TTS crashes under concurrent TTS with ref_context_size mismatch
- [Doc] Mention RTX 5090 in CUDA install and INT8 quantization Blackwel…
- [Bug]: vLLM v0.22.1 in 8 * H20-3e 141G environment deploying DeepSeek-V4-Pro reports error "mlir_global_dtors() missing 1 required positional argument: 'data'".
- [WIP] Add Dynamic Context Parallelism for long-context serving
- [Bug]: vllm-0.22.0 fail to run "Qwen/Qwen3.5-9B" in offline `LLM` mode
- [Bug]: [ROCm][FLA] chunk_gated_delta_rule Triton compilation fails on MI210/gfx90a with num_stages=4
- [Bugfix] Fix SinkFullAttentionManager startup crash on scheduler_block_size
- [Metrics] Add vllm:request_received counter labeled by input modality
- perf: add push-based allreduce for small tensor reductions
- Docs
- Python not yet supported