Alternatives to GPUStack
An open-source GPU cluster manager for serving AI models with vLLM and SGLang on your own hardware. The listings below can replace it for an important use case. Each note says what changes if you switch.
The original
GPUStack
An open-source GPU cluster manager for serving AI models with vLLM and SGLang on your own hardware.
Replacements
Listings that take over the same core job as GPUStack.
Xinference
An open-source inference server for running language, speech and multimodal models through one API.
Xinference serves language, speech and multimodal models through one GPT-compatible API, running on a laptop or scaling to servers.
LocalAI
Serve language, image and speech models on your own hardware.
LocalAI is an MIT-licensed self-hosted server with compatible APIs for language, image and speech models, aimed at single hosts rather than GPU pools.
vLLM
High-throughput, memory-efficient inference and serving engine for LLMs.
vLLM is an Apache-2.0 high-throughput serving engine on Linux, which GPUStack builds on, without GPUStack's cluster pooling and SSH-accessible instances.
SGLang
A serving framework for running large language models and multimodal models on your own GPUs.
SGLang is an open-source high-throughput serving framework for language and multimodal models, used directly rather than through GPUStack's cluster manager.
Similar software
Related functionality, not a direct replacement.
nvitop
Interactive terminal viewer for NVIDIA GPUs and the processes running on them.
TabbyAPI
A lightweight, OpenAI-compatible API server for running ExLlama-format language models on your own hardware.
Open WebUI
A self-hosted chat interface that talks to Ollama and any OpenAI-compatible API, so your local models get a proper front end.
RamaLama
Command-line tool that pulls AI models from any source and serves them locally in containers.
LibreChat
Self-hosted open-source chat interface that brings many AI models and providers into one place.
llama.cpp
The C++ engine most local AI apps are built on, running language models on ordinary hardware.
