#180 · Primary category： Inference & Local Deploy
vllm-playground
A modern web interface for managing and interacting with vLLM servers (www.github.com/vllm-project/vllm). Supports both GPU and CPU modes, with special optimizations for macOS Apple Silicon and enterprise deployment on OpenShift/Kubernetes.
Project last updated：04/07/26
GitHub Stars
524
Forks
72
Contributors
8
License
Apache-2.0
Why we included this project
This browser interface turns vLLM from a terminal-only workflow into something you can actually watch and steer. You pick a model, adjust GPU memory and tensor parallelism, start the server, and chat against it right away, with live streaming logs and an observability dashboard running alongside. It can juggle several backends at once, whether they are local subprocesses, containers, or remote endpoints, and it layers on practical extras: vision-model chat, function and tool calling, MCP connections, and the ability to point Claude Code at open-source models served locally. There is also dedicated support for Apple Silicon and for OpenShift/Kubernetes deployments. If you serve models with vLLM and want a more manageable day-to-day interface for development, load testing, and demos, this is worth a look.
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