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.
Key Features
Private Compute Device Registration
Single command to register compute power. Automatically starts Local vGPU (shm mode) and Remote vGPU (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 vGPU 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 vGPUs
- Advanced sharing features
Team
- Unlimited devices ($14.9/mo per device)
- Unlimited vGPUs
- 7x24 technical support
Get Started with GPU Go
Start sharing GPU resources today and enhance your AI development experience