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.
Data Provenance
Author transformations in Jupyter notebook cells and then apply them in a scale-out architecture for perfect data provenance.
MLflow Integration
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 right to view its explainer video.
Prepare Data
- Data prep for developing, using, and monitoring the model
- Multicloud preprocessing: Linear or Graph
- Micro Batch using InfinSlice [VIDEO]
- Data Provenance via InfinSnap [VIDEO]
Develop Model
- Cloud-hosted JupyterLab [VIDEO]
- Multicloud Training
Use Model
- MLflow Shared Model Registry [VIDEO]
- Feature Store
Monitor Model
"There are quite a few commercial products that host MLflow but integrate it with access permission models . . . such as InfinStor, [which] supports the MLflow API."
Matei Zaharia
Co-founder of databricks
and Creator of MLflow
Use Cases
With InfinStor’s unique compute capabilities and features, 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
Here’s how InfinStor’s compute technology is used to run data in the cloud with just a few clicks for Multilex Technology.
Medical Imaging
The InfinStor Compute Engine, or ICE, can drastically improve medical imaging pipelines for companies like SemanticMD and Intelpixel.
Frequently Asked Questions
Send us an email at support@infinstor.com with any additional questions not listed below.
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.
- Starter
- Premium
- Enterprise
| Starter | Premium | Enterprise | |
Basic version of InfinStor with limited features | Full version of InfinStor with all features unlocked | Full version of InfinStor with options for enterprise | |
| MLflow Integration | |||
| Hosted JupyterLab | |||
Data Provenance
Data Provenance via InfinSnap
| InfinSnap | InfinSnap | |
Data Drift Protection
Data Drift Protection via InfinSnap
| InfinSlice | InfinSlice | |
InfinStor Compute Engine
Fully unlocked capabilities of ICE
| Inline, Single VM | Inline, Single VM | |
| Service Mode | Multi-Tenant SaaS | Multi-Tenant SaaS | Single-Tenant SaaS in customer AWS account |
| Customer Service | Email, Docs, Phone | Email, Docs, Phone | Email, Docs, Phone | Select Starter | Select Premium | Request Demo |
Recent Posts
To read more articles, tutorials, and press releases from InfinStor, visit our blog.
Multicloud MLflow
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.
Writing credits go to Amit from The Scroll newsletter. Sign up here: thescroll.co
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
Introducing InfinStor
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
Deep Learning Redefined
InfinStor is a multicloud machine learning platform focused on deep learning. Our mission is to accelerate the production deployment of d...
Jul 16, 2020 / Read More
