Building and deploying an Artificial Intelligence (AI) or Machine Learning (ML) computing solution requires a massive amount of unstructured data - but the high cost of performance storage makes keeping all that data on primary storage impossible.
Data scientists need a timely, self-service way to recall their data from lower cost storage options to their high-performance environments for analysis.
Traditional data management solutions struggle to keep up with scanning, visualizing, and archiving old or unused data to the cloud at scale.
Today’s AI/ML workflows require a modern data solution designed to manage the scale of training data.
Igneous is architected to help you offload AI/ML training datasets to low cost storage, and then quickly recall locally when needed for analysis.
Find, protect and manage data across your entire organization, even multi-site heterogeneous environments. With both onsite and cloud-based archive options, Igneous can provide data movement at scale to and from any archive endpoint.
Manage unstructured data, leveraging powerful software architectures to scan, index, and move data across primary, secondary, and cloud tiers
Designed to handle massive amounts of data across both performance and capacity tiers, delivering maximum scalability of large datasets
Igneous enables organizations to keep their IT departments lean with reduced management overhead