Return to Online IDEs, Online ML pipelines
“Gradient is an end-to-end MLOps platform that includes a free hosted Jupyter notebook service, with many options for pre-configured environments and free GPUs and CPUs.
Gradient simplifies developing, training, and deploying deep learning models. It’s comprised of a web UI, CLI, and SDK. One of the great things about Gradient is that it provides valuable functionality for beginners to professionals, with an intuitive web UI and extremely low barrier to entry.
Some advantages to Gradient compared to Google Colab include:
Faster and persistent storage (no more reinstalling libraries and re-uploading files every time you start your notebook!)
Sessions are guaranteed, so you’re not at risk of having your instance shut down in the middle of your work. You don't need to be connected the entire time, either; start your training, log out, come back later, and your session will be right where you left off.
Pre-configured containers and templates. You can choose between different popular environments with all dependencies preinstalled (e.g. PyTorch, TensorFlow, or Data Science Stack), or use your own custom container. * * * There's also an ML Showcase which includes sample projects you can fork (for free) and run on your own account
A public datasets repository including a large selection of popular datasets mounted to each notebook and freely available for use
The ability to easily scale up to add more storage and higher-end dedicated GPUs for the same environment, as you need
Integrated features for a full
ML pipeline, such as 1-click deployments and version control
A responsive and helpful support team”
Fair Use Source: https://blog.paperspace.com/best-google-colab-alternatives
https://gradient.paperspace.com/free-gpu