vLLM Completes Migration to V1 Engine with DeepSeek Serving at 2.2k Tokens/Second on H200 Hardware
By
robertnishihara
A baker's-dozen of insight crammed into one ring.
Summary
vLLM v0.11.0 marks the complete migration from the V0 engine to the improved V1 engine architecture, representing a significant milestone for the open-source inference serving system. The article highlights vLLM's performance achievements, including DeepSeek-style serving at 2.2k tokens per second on H200 hardware, and its validation through inclusion in SemiAnalysis's InferenceMax benchmarks. The project has substantial community support with nearly 2,000 contributors and is trusted by major companies like Meta, LinkedIn, Red Hat, Mistral, and HuggingFace for production use.
Key quotes
· 4 pulledIn v0.11.0, the last code from vLLM V0 engine was removed, marking the complete migration to the improved V1 engine architecture.
This achievement would not have been possible without vLLM's community of 1,969 contributors, authoring over 950 commits in the past month.
These efforts have been validated by vLLM's inclusion in the SemiAnalysis open source InferenceMax performance benchmarks.
vLLM is proud to be trusted in production by teams at Meta, LinkedIn, Red Hat, Mistral, and HuggingFace.
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