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gpustack/gpustack

An open-source GPU cluster manager that orchestrates high-performance AI inference engines like vLLM and SGLang for efficient model deployment across diverse environments.

Core Features

Multi-Cluster GPU Management across diverse environments (on-premises, Kubernetes, cloud).

Pluggable and automatically configured high-performance inference engines (vLLM, SGLang, TensorRT-LLM).

Performance-optimized configurations including extended KV cache systems and speculative decoding methods.

Enterprise-grade operations with automated failure recovery, load balancing, monitoring, authentication, and access control.

Broad support for various AI accelerators including NVIDIA, AMD, Ascend, and more.

Detailed Introduction

GPUStack is an open-source platform designed to streamline the deployment and management of AI models on GPU clusters. It provides robust multi-cluster GPU management capabilities, supporting on-premises, Kubernetes, and cloud environments. By orchestrating and optimizing inference engines like vLLM and SGLang, GPUStack ensures high-performance AI model serving with features like Day 0 model support, advanced caching, and speculative decoding. It also offers enterprise-grade operational features including automated recovery, load balancing, monitoring, and access control, enabling scalable Model-as-a-Service delivery.