GPUStack

Overview

GPUStack is an open-source GPU cluster manager that configures and orchestrates inference engines such as vLLM and SGLang. It handles resource allocation and scheduling across multiple GPUs to enable high-performance deployment of AI models.

Best for

Best for
Teams needing to manage and scale AI model inference across multiple GPUs

Use cases

• Deploying large language models across a multi-GPU cluster
• Managing inference engine configurations for vLLM or SGLang
• Scaling model serving with automatic GPU resource scheduling

Notes

GPUStack is an open-source GPU cluster manager that configures and orchestrates inference engines such as vLLM and SGLang. It handles resource allocation and scheduling across multiple GPUs to enable high-performance deployment of AI models.

5,082 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

Use cases

• Deploying large language models across a multi-GPU cluster
• Managing inference engine configurations for vLLM or SGLang
• Scaling model serving with automatic GPU resource scheduling

Pros

• Open-source with active community support
• Supports popular inference engines out of the box
• Simplifies cluster management for GPU workloads

Cons

• Requires familiarity with GPU cluster administration
• Limited to inference engine orchestration, not training
• Documentation may be less comprehensive than commercial alternatives

Indexed from awesome-llm and enriched against its public facts.