A high-throughput and memory-efficient inference and serving engine for LLMs
- Recommended by
- 4
- GitHub stars
- 96k
- Licence
- Apache-2.0
- Language
- Python
- Last commit
- 2 Nov 2026
What people said
“I have a quirky vLLM on k8s on 2x OEM sparks setup with 9 models available to me. I'm not keen to run nightly vLLM, too many issues with it in the past. Going the qwen-next path means displacing things I use daily:/ I have a watchful eye on the diffusion ~ Jev/Kev PR…”
“If you want to try a _legit_ Jev implementation that matches (at least in my evals), the vLLM patch to turn DiffusionGemma into Jev is available. On my DGX Spark I get very similar latency numbers, and it matches my evals + or - a few points on each test (DG wins some, Jev wins s…”
“I am using the `voipmonitor/vllm:lucifer` docker from the RTX6K discord community discussed at the same link the other commenter posted. It is based around this PR”
“vLLM v0.28.0 (108 points)”
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