Optimized AI Inference
on Your GPU
GPUStack unlocks the full potential of your hardware with intelligent optimization for LLM deployment and inference.
The Challenge of LLM Deployment
Open-source inference engines deliver state-of-the-art performance, but require significant expertise and effort to unlock their full potential. GPUStack solves this complexity.
Without Optimization
Manual tuning, complex configurations, and suboptimal performance across different hardware platforms.
Time-consuming setup process
Inconsistent performance across GPUs
Limited hardware utilization
With GPUStack
Automated optimization that delivers significant performance gains out of the box.
Up to 3x performance improvement
Seamless hardware compatibility
Maximum GPU utilization
Performance Benchmarks
GPUStack tuned deployment achieves significant performance gains compared to unoptimized vLLM baseline.
Tailored for Every Use Case
Different scenarios demand different optimization strategies. GPUStack provides flexible deployment modes.
Throughput Mode
Optimized for high throughput under high request concurrency. Perfect for batch processing and high-volume APIs.
Latency Mode
Optimized for low latency under low request concurrency. Ideal for real-time interactive applications.
Standard Mode
Runs at full precision and prioritizes compatibility. Ensures maximum model accuracy and stability.
Custom Mode
Fully customizable optimization parameters tailored to your specific requirements and constraints.
Fast Innovation with AI
Pluggable backend and engine support lets you run state-of-the-art open-source models from day one.
DeepSeek
Qwen
GLM
Kimi
Llama
Mistral
Gemma
Phi
Scalable GPU Clusters
Deploy across any infrastructure, anywhere in the world.
Scale on demand. Anytime, Anywhere.
On-Premise
Leverage your existing GPU servers with full control over your infrastructure.
Kubernetes
Deploy on any Kubernetes cluster with seamless orchestration and management.
Multi-Cloud
AWS, DigitalOcean, Alibaba Cloud, and more — dynamically scale GPU resources.
Monitor, Measure, Optimize
GPUStack gives you the power to see everything your models do. From real-time performance metrics to historical trends, track every inference, every millisecond, and every resource your LLMs consume.
Real-time Metrics
Live performance tracking
Historical Trends
Performance analytics
Resource Usage
GPU/CPU utilization
Optimization
Automated tuning
Management & Collaboration
GPUStack enables teams to efficiently manage models, inference engines, and compute resources while collaborating seamlessly.
Team Management
Manage Models
Deploy, update, and monitor your models effortlessly
Compute Resource Management
Allocate GPUs, workers, and clusters efficiently
Failover & Autoscaling
Ensure smooth operations during high demand or failures
Collaboration Tools
Share models, track usage, and coordinate workflows
Unified Management Interface
From GPU clusters to users and API keys, keep everything organized and under control.
Enterprise Ready
GPUStack provides the enterprise capabilities needed to deploy LLMs at scale with confidence.
SSO Integration
Seamless enterprise login and identity management
Access Control
Manage who can access or modify models within your team
Token Quotas
Control usage organization-wide with rate limits
High Availability
Ensure uninterrupted model service with failover
Ready to Optimize Your AI Inference?
Join thousands of developers and enterprises already using GPUStack to deploy LLMs at scale.
