Eliminate AI/ML Project Failure

Reduce the rate of ML project failure by creating better quality models. InfinStor eases the pain of managing larger datasets for training by automatically train on the cheapest spot instance in the cheapest cloud.

What is InfinStor?

A multicloud machine learning platform focused on reducing the failure rate of ML projects.


InfinStor’s patent pending storage and compute innovations enable Data Scientists to train using bigger datasets at lower compute costs. Unique storage features such as InfinSnap and InfinSlice ease the management of machine learning data. 

Customers enjoy significant cost savings since InfinStor automatically relocates training and inference tasks to the cheapest GPU spot instances in AWS, Azure or Google Cloud.


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

"Artificial intelligence and machine learning are important technologies for modern enterprises to be competitive."

Jagane Sundar
Co-Founder and CEO
InfinStor, Inc.

The Latest from InfinStor


Effortlessly Execute JupyterLab Cells in the Cloud

by Jagane Sundar

December 14, 2020


It's All About the Models for Successful ML Projects

as featured in The Scroll

December 8, 2020

Astounding differences in the price of Cloud GPU instances

by Jagane Sundar

November 4, 2020