Automate machine learning model pipelines
Focus on what is important with prebuilt connectors to data sources
Connect to the most popular data source with a simple drag & drop
Filesystem, FTP, HTTP, SSH, SFTP
Analytic SQL (Greenplum, etc.)
NoSQL (MongoDB, Cassandra, Elasticsearch)
Cloud (S3, blob, buckets)
Machine Learning Open Studio is agnostic to the resource from development to production, which means that you can use it on any infrastructure:
Select dynamically the resource required: GPU, RAM, OS, lib, etc.
Select the most relevant resource:
- based on hardware requirements (GPU, RAM, etc.)
- based on location (Azure, AWS, OpenStack, VmWare, On-Prem, In France, In US, etc.)
- based on variable information (latency, bandwidth, etc.)
- based on OS configuration (Docker enabled, Python3 enabled, etc.)
Share files and variables across containers
Benefit from a fully open system and leverage the best libraries. Set up a complete machine learning orchestration system with MLOS.