Transformations are short python code snippets written by you which can transform your data. Choose a small InfinSlice, develop your transformation, save the transformation, then run against a large amount of data. InfinStor will size the data and run the transformation, either in your iPython kernel or distributed.

Train and deploy deep learning models faster

InfinStor storage innovations help you iterate faster on larger datasets and produce more accurate models

Automated protection against Data Drift through InfinSlice

Once deployed, automatically monitor your model for Data Drift using our patent pending storage innovation InfinSlice

Enable Data Provenance

Author transformations in Jupyter notebook cells and then apply them in a scale out architecture to InfinSnap snapshots for perfect data provenance

MLflow integration to Manage Machine Learning workflow  

InfinStor extensions to industry standard mlflow enable you to manage the complete deep learning workflow