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
- Add external metrics providers for stat logger plugins
- [XPU] install xpu-manager for device monitor
- [ROCm][Bugfix] Hoist tt.addptr out of scf.if in fused_qk_rmsnorm
- [Bugfix] Fix DeepSeek MoE sequence-parallel layout tracking
- [Spec Decode] Fix FA3 AOT scheduler head count mismatch for DFlash/DSpark
- [KV offload] Order CPU->GPU loads against the compute stream
- Rust Frontend: Add supervisor-side control channel for Elastic EP scaling
- Update workflow comments and add first-interaction action.
- [Bug]: sm_120 + local CUDA toolkit < 12.9: FlashInfer JIT failures kill engine init in three default paths (sampler, fused-MoE, FP8 KV) instead of falling back
- [Bug]: Mistral3 (HF format): default text-only LLM() init fails in multimodal profiling — "Failed to apply PixtralProcessor on data={'text': '[IMG]'}"
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