GPUStack
Manage GPU clusters, serve AI models with vLLM and SGLang, and get SSH-accessible GPU instances on demand.
Overview
Requirements
Recommended VPS
Hostinger · KVM 4
4 vCPU · 16384 MB · 200 GB
Hostinger · KVM 4
4 vCPU · 16384 MB · 200 GB
Hostinger · KVM 8
8 vCPU · 32256 MB · 400 GB
Affiliate disclosure
Docker Compose
# Generated by Run This Ai — docker-compose.yml
services:
gpustack:
image: gpustack/gpustack:latest
restart: unless-stopped
ports:
- 8080:8080
volumes:
- ./data/gpustack:/data
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Guides & articles
How to Deploy GPUStack with Docker: Step-by-Step Setup Tutorial
From docker-compose to your first served model — run GPUStack on one machine or a cluster of GPU nodes in under 15 minutes.
GPUStack: Open-Source GPU Cluster Management for High-Performance AI Serving
GPUStack pools every GPU across your machines into one cluster for serving vLLM and SGLang models — plus on-demand SSH-accessible GPU instances for training.