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Cloud-friendly file backup, visibility, and archive for

Artificial Intelligence & Machine Learning

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Igneous for AI/ML

Igneous delivers effective, scale-out protection and archive solutions for the massive amount of training data.

 

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Legacy data solutions can't keep up

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.

That's why Igneous was built.

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SaaS backup, archive, and visibility designed for 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. 

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Modern Storage Portfolio

Manage unstructured data, leveraging powerful software architectures to scan, index, and move data across primary, secondary, and cloud tiers

Scale-out
Architecture

Designed to handle massive amounts of data across both performance and capacity tiers, delivering maximum scalability of large datasets

Delivered
as-a-Service

Igneous enables organizations to keep their IT departments lean with reduced management overhead

Data-Heavy Teams Use Igneous to:

 

Our Products

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DataDiscover

Real-time indexing, global visibility, and powerful search

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DataProtect

Protect petabytes of data and billions of files

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DataFlow

Modern workflows shouldn’t have to wait for data

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Featured Resources

Ready to learn more?

Schedule a call with one of our solution architects and we’ll show you how to deploy our stateless VM in minutes.