GPU Cluster Management Platform
4.8k 2026-04-13
gpustack/gpustack
An open-source GPU cluster manager that orchestrates high-performance AI inference engines across diverse environments, optimizing model deployment and resource utilization.
Core Features
Multi-Cluster GPU Management across on-premises, Kubernetes, and cloud environments.
Pluggable Inference Engines supporting vLLM, SGLang, TensorRT-LLM, and custom solutions.
Performance-Optimized Configurations with extended KV cache and speculative decoding methods.
Enterprise-Grade Operations including automated failure recovery, load balancing, monitoring, and access control.
Detailed Introduction
GPUStack is an open-source platform designed to streamline the deployment and management of AI models on GPU clusters. It provides robust orchestration for various high-performance inference engines, enabling efficient resource utilization across on-premises, Kubernetes, and cloud environments. With features like pluggable engine architecture, performance-optimized configurations, and enterprise-grade operational support, GPUStack empowers development teams and service providers to deliver scalable Model-as-a-Service solutions with enhanced performance and control.