Access GPUs Anywhere, Instantly No Cloud Costs, No Waiting
Share idle GPUs across your lab, home, or campus. Perfect for students and developers who need flexible GPU access without cloud pricing. Mount remote GPUs as easily as network drives.
Built for Developers
Empower your development workflow with local-first GPU sharing that adapts to your needs, whether you prefer CLI, VSCode, or browser interface.
Fast
Single command to register and mount compute devices. Automatically starts Local and Remote Workers for instant access.
Flexible
Share GPUs with others via shortlink or access across multiple devices. Full control over device configuration and allocation.
Integrated
VSCode integration with plugins published to multiple marketplaces. Complete GPU access directly in your development environment.
Simple
Just use GPUs like NFS. Local-first architecture brings GPU to you, not you to GPU. Perfect for students, developers, and small teams.
Key Features
Private Compute Device Registration
Single command to register compute power. Automatically starts Local Worker (shm mode) and Remote Worker (TCP mode).
Compute Mount
Single command to mount registered compute devices. Select available GPUs and confirm mount stub lib path.
Compute Sharing
Share GPUs with others via shortlink. Others can access via browser to automatically add GPU to their account.
VSCode Integration
Publishes plugins to multiple VSCode Marketplaces, automatically completing all functions in VSCode.
Device Configuration and Management
Configure device information, allocation status, load usage, and generate Sharable Links in personal Dashboard.
Use Cases
Students
Borrow idle GPUs from school labs to conduct research, learn new technologies, and experiment with AI models.
Individual Developers
Access GPU resources across multiple devices owned by you, enhancing development experience.
Homelab Enthusiasts
Share computing power within small range (studio, home, school) among individuals or across multiple devices.
Small Startup Teams
Solve supply-demand imbalance for computing power within local network, reducing infrastructure costs.
Pricing Model
Billed by Worker count, subscription-based
Free
- 1 GPU device limit
- No quota control
- Basic sharing features
Personal
- 10 GPU devices limit ($7.9/mo per device)
- Unlimited Workers
- Advanced sharing features
Team
- Unlimited devices ($14.9/mo per device)
- Unlimited Workers
- 7x24 technical support
Get Started with GPU Go
Start sharing GPU resources today and enhance your AI development experience