The field of deep learning requires heavy amounts of storage. Machine learning datasets often reach into the 100s of GBs, and pre-trained model weights can be large too. Many datasets (like JFT-300M by Google) remain inaccessible to data scientists outside large organizations. Furthermore, open datasets can be scattered across many apps and websites, and require the user to follow a lengthy tutorial for download, setup and processing.
Using IPFS with AI Libraries and Hubs
· 6 min read