Modern AI Workflows, Reimagined
To successfully deploy AI projects in production environments your infrastructure must be able to process very large data sets rapidly as well ingest structured and unstructured data from a wide variety of sources. Legacy high-performance processing storage architectures are constantly moving data from one storage system to another, (object storage for archival data, NAS for persistent storage, parallel file systems for fast storage) increasing complexity and management and slowing results with expanding data transfer times.
80-85% Enterprises are running into the “last mile” problem with ML model deployment and management.Sumit Pal, Sr. Director Analyst, Gartner
“Don’t Stumble at the Last Mile: Leveraging MLOps and DataOps to Operationalize AI and ML“