I’m considering using Paperspace cloud service to learn deeplearning.
I found that recently in Paperspace, they offer a new platform called Gradient. We can run directly the FastAI notebook without doing all the configuration step. Furthermore, we can swich between different type of VM to save money. For example, doing all the test and setup notebook with a CPU VM (C2). Then when finish, switch to GPU VM to run the training. Gradient also have a free charge of Storage
I think it’s very handy. But I’m wondering, with the Gradient FastAI container, because it is free charge of storage, my new data would be saved after I stop the notebook ? Can I do more work rather just the notebook in Fastai.
What is the pros and cons between Gradient and the conventional Paperspace VM ?
Thank you for your help