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
Click a feature below to view its explainer video.
