| Reducing cost and time for developing & deployments of ML/AI services |
Integrated services all the way from functions and analytics engines to the data
layer resulting in much less devops and reduce barriers for customers to
implement their DS projects, and later convert them in a quick process to be in
production |
| Enable real time use cases |
The combination of a low latency & scaled event driven Serverless with high
performance data layer enables real time feature vector and model serving |
| Running training at scale |
Customers can take models that were written via different tools and run it at
scale either as Spark, python framework or deep learning jobs |
| Open |
Enable users to work with their favorite tools on iguazio or outside iguazio.
Among others, enables full python eco-system at scale |
| Run everywhere |
Support multi-cloud, customer VPC & On-Prem |
| End to end platform |
Provide solution for both data science model development and ML application
deployment |
