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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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The P/D prototype connected DEP4 prefill to DEP8 decode on 12× GB300 with FP8, NIXL and a 384 GiB cache store. It recorded 514,784 prefix-hit tokens (91.24%); two 1,000-request OCR runs scored 90.4% and 89.4%, with zero request errors. This was a pre-release, pre-rebase test. The P/D PR remains open; check the final build separately. 5/6
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