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Affordable GPU Compute
vGPUs lower costs by allowing multiple apps to share the same hardware.
Supports your favorite frameworks:
About the plaform
Train Machine Learning Models
Easily train your machine learning models
Start training in seconds. Easily scale to run your workflow in parallel.
Scale
To run all your hyperparameter tuning in parallel5x
Saving, on comparable instances vs. other providers
Deploy Models
Easily Deploy Machine Learning Models
We make it easy to deploy your GPU power applications. You can choose from our selection of images or deploy your own docker image.
Our Roadmap
FAQ
- How is vEdge different from other compute provider like AWS?
vEdge shares GPU hardware across multiple users which drives down costs and makes scaling a lot faster and easier.
- When will vEdge become publicly available?
We plan to release vEdge in late 2024. However, we will provide early access to users who sign up to the waitlist.
- How much will vEdge cost?
We still have not finalized the pricing. However, we don't plan to charge for egress and plan to have lower power instances starting at $0.20/h.
- I have another question, how can I contact you?
You can contact us by email: contact@vedge.cloud
