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]: Multicast check disables the symmetric memory two-shot all-reduce path, which never uses multicast
- [Bugfix][Spec Decode] Fix NaN handling in rejection sampler tl.argmax
- [Kernel] Harden top_k_per_row against NaN and under-filled output
- [Cleanup] Remove orphaned output_text_buffer_length and stale spec-decode warning after V0 removal- #50225
- [Docs] Update Quickstart with Apple Silicon/Metal compatibility note and safetensors-compatible default model
- [Cleanup] Remove orphaned output_text_buffer_length and stale spec-decode startup warning after V0 removal
- [Kernel] Optimize SM103 GDN causal-conv prefills
- [Bugfix] Avoid non-contiguous CPU tensors in Llama-4 ModelOpt weight …
- [Perf][CUDA] Programmatic dependent launch for the DSA decode kernels
- [Model][Perf] Overlap mixed GDN decode and prefill recurrent kernels
- Docs
- Python not yet supported