Move machine learning model from development to production at a fraction of cost
Deploy to any cloud, on-prem or hybrid based on the infrastructure of your choice by determining the cost for managing the computing resource and monitoring the performance of machine learning models
Onboard faster with readily available deployment pipeline templates
Kubernetes based deployment with reproducible CI / CD pipelines makes it easier to onboard any new environment like QA, Pre-Prod or onboard new team with machine learning models along with the infrastructure needed to train the model and run the inference for the model