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
- [Feature]: Integrate `flash-infer` FP8 KV Cache Chunked-Prefill (Append Attention)
- [Usage]: Got nccl error when deploy vllm in k8s with multiple GPUs
- [Bug]: Dockerfile build error
- [RFC]: Refactor the service pipeline to overlap GPU execution and CPU operations
- [Bug]: Pipeline parallelism is only supported through AsyncLLMEngine as performance will be severely degraded otherwise.
- [Bug]: Prefix cache with prompts dedupe
- [Misc]: How to use intel-gpu in openvino
- [Core] Move detokenization to front-end process
- [Usage]: KV Cache Warning for `gemma2`
- [CI] Update performance benchmark: upgrade trt-llm to r24.07, and add SGLang
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- Python not yet supported