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
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