vllm-studio

vllm-studio is a unified control panel designed for AI/ML engineers and researchers to manage and monitor multiple inference engines like VLLM, Sglang, llama.cpp, and exllamav3 from a single interface. It simplifies the deployment and tuning of large language models by providing real-time performance metrics, model switching, and configuration controls without needing to interact with each engine’s separate CLI or API. This project is interesting because it addresses the fragmentation in the LLM serving ecosystem, offering a practical tool for optimizing throughput and latency across different backends.