Free GPU cloud service eases machine learning deployment
The service, called Gradient Community Notebooks, is based on Jupyter notebooks designed for machine learning and deep learning development. It enables any developer working with popular deep learning frameworks such as PyTorch, TensorFlow, Keras, and OpenCV, to launch and collaborate on their ML projects.
The new solution, says the company, provides easy-to-use templates pre-loaded with all of the various different libraries, dependencies, and drivers. Similar to a GitHub repo, Gradient Community Notebooks can easily be shared and forked into a user’s own account.
“GPUs are essential to ML development, yet the services available today are complex and prohibitively expensive for many developers,” says Dillon Erb, CEO and Co-founder, Paperspace. “This is precisely why we created Gradient Community: to make GPU and ML development resources widely accessible and easy to deploy. Our focus on empowering developers with cutting-edge technology, and a means to collaborate, supports our mission to help every developer become an AI developer.”
The service is offered as having the following benefits and features:
- Free GPUs (and CPU) backed notebooks;
- New Jupyter-based collaborative environment;
- Access to popular libraries, prebuilt models, and a project showcase;
- Users can create a public profile page to share their bio and the work they’re interested in.
With the service, users can get started from scratch with a new notebook or leverage pre-configured projects from the Gradient ML-Showcase, a curated list of machine learning examples.
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