The State of vLLM
summary
vLLM is an open‑source LLM inference and serving engine (origin Aug 2022, open‑sourced June 2023) that now powers production demos and cloud integrations and claims broad adoption with 560+ contributors and ~200 PRs/month. It ships hand‑tuned CUDA/Triton kernels, a CUDA graph flow that removes ~50% Python launch overhead, quantization support (FP8, int8, GPTQ, AWQ) plus an LM compressor, speculative decoding with draft/verify, KV prefix caching with hash IDs, and upcoming async scheduling and torch.compile coverage.
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chapters (10)
- 0:00Introduction to vLLM
- 1:00One Year of Progress
- 4:26Model Support Highlights
- 5:48Hardware Support Expansion
- 7:00Performance Enhancements
- 10:59Engine Features and Metrics
- 18:46Distributed Architecture
- 20:53Community and Adoption
- 25:49Future Roadmap (Q4)
- 28:02Technical Deep Dive & Q&A
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