vLLM
@vllm_project
A high-throughput and memory-efficient inference and serving engine for LLMs. Join to discuss together with the community!
加入 March 2024
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vLLM integrated PyNvVideoCodec to offload video decoding from CPU to GPU's NVDEC.
Result: 2x+ throughput at 8×H100, CPU bottleneck gone! This is huge for video captioning at scale (AV training, metadata), and ships with CUDA vLLM releases.
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