True Multicloud Machine Learning
Spend less and produce better outcomes from machine learning projects using InfinStor's unique compute and storage capabilities.
faster Model deployment
InfinStor storage innovations help you iterate faster on larger datasets and produce more accurate models.
Data Drift PROTECTION
Once deployed, automatically monitor your model for Data Drift using our patent pending storage innovation InfinSlice.
Author transformations in Jupyter notebook cells and then apply them in a scale-out architecture for perfect data provenance.
InfinStor extensions to industry standard MLflow enable you to manage the complete workflow.
The Complete Multicloud ML Platform
InfinStor’s patent-pending storage and compute innovations enable data scientists to train using bigger datasets at lower compute costs. Enjoy significant cost savings as InfinStor automatically relocates training and inference tasks to the cheapest GPU spot instances in AWS, Azure, and Google Cloud.
How it works
InfinStor is enhanced using proprietary innovations in storage such as snapshots of object stores and slices of data from object stores. Our compute platform can run different parts of the machine language workflow in different clouds.
Click a feature on the left view its explainer video.
With InfinStor’s unique compute capabilities, data scientists get the fastest output with the least amount of expenses. Below are current customers who use the InfinStor machine learning platform to streamline their ML pipelines.
Natural Language Processing
Frequently Asked Questions
WhAT clouds does InfinStor support?
InfinStor supports Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
Where can I sign up for InfinStor?
InfinStor Starter is available for free on AWS Marketplace. Click ‘Try for Free’ to get started.
What we offer
InfinStor is available in three different editions.
MLflow is rapidly expanding as the most popular open source technology to manage the lifecycle of ML projects. MLflow has the right abstr...
Apr 12, 2021 / Read More
Enable a Dynamic and Flexible Feature Store with MLFlow
Feature store is a concept that’s attracting the attention of data scientists to store and re-use features across different projects. Fea...
Feb 27, 2021 / Read More
Effortlessly Execute JupyterLab Cells in the Cloud
There are many occasions when Python code in a JupyterLab notebook may need to be run in the cloud. InfinStor offers the easiest way for ...
Dec 14, 2020 / Read More
It’s All About the Models for Successful Machine Learning Projects.
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Dec 10, 2020 / Read More
Astounding differences in the price of Cloud GPU instances
For a variety of reasons, I was attempting to quantify the cost of ML training. It became quickly apparent to me that the most significan...
Nov 04, 2020 / Read More
Introducing InfinStor Starter with MLflow
InfinStor Starter with MLflow is an AWS hosted mlflow service. All the features of mlflow — MLflow Tracking, MLflow Projects, MLflow Mode...
Aug 26, 2020 / Read More
In a time when artificial intelligence and machine learning are essential for enterprises to compete effectively, over 60% of machine lea...
Aug 17, 2020 / Read More