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
- [Performance]: Prefill TTFT and latency both increased
- [Bug]: Build vllm on Apple silicon: libc++abi error
- Using os.sched_yield() releases the CPU so quickly that it causes 100% CPU utilization.
- [Bug]: engine monitor outputs unexpected error though the engine works well
- [Bug]: [H200] DeepSeek-R1 EP 1.5x TTFT due to MoE backend behavior changes
- [Feature]: More control over expert parallelism (--moe_ep_size, --moe_tp_size)
- [Bug]: @create_new_process_for_each_test("spawn") succeed unconditionally and does not work correctly all usages need to be revistied.
- [Bug]: Qwen3-32B use eagle3 crash
- [Bug]: num_cpu_blocks metrics is None in cache_config_info
- [Bug]: Some compilation tests can not run in the same process due to "Cannot re-initialize CUDA in forked subprocess"
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- Python not yet supported