Cloud GPUs without full-GPU waste
Affordable GPU Compute
vGPUs lower costs by letting multiple workloads share the same hardware while keeping startup fast for training and deployment.
Supports your favorite frameworks
Savings over reserving a whole GPU for smaller workloads.
Affordable GPU pricing for lower-power instances.
Fast instance startup for experiments and deployments.
About the platform
Built for shared GPU economics
vEdge focuses on the expensive parts of machine learning infrastructure: fast access, clean deployment paths, and lower cost for workloads that do not need an entire GPU.
Train machine learning models
Train without paying for idle capacity
Start training in seconds and scale parallel workflows when hyperparameter tuning or batch jobs need more capacity.
Scale
Run tuning jobs in parallel.
5x
Savings on comparable instances versus other providers.
Deploy models
Ship GPU applications from ready-made or custom images
Choose from images with machine learning tools already installed, or deploy your own Docker image when your stack needs full control.
Images
ML tools ready to run.
Docker
Deploy custom images in seconds.
FAQ
Answers before early access
vEdge shares GPU hardware across multiple users, which drives down costs and makes scaling faster for smaller workloads.
Early access
Get early access to vEdge
Join the waitlist for launch updates and invitations as capacity opens.