Accelerate Time to Value and AI Insights

Technical White Paper

Reducing the AI development cycle with HPE, NVIDIA, WekaIO, and Mellanox

This white paper explores the impact of storage I/O on the training portion of the Deep Learning workflow and on inferencing for training model validation. AI development is akin to software development; while it is desirable to reduce overall cycle time, the finished product must function correctly, predictably, and reliably. The results shared in this paper show how increasing storage performance will help avoid I/O bottlenecks during model validation, reducing overall time for model development.

This paper was created in partnership with engineers from HPE, NVIDIA, WekaIO and Mellanox.

Thank you for your interest in WekaIO data storage solutions. An email will be sent to the email address that you provided that contains a link to download the technical white paper.


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Worldwide Scale-out File-Based Storage 2019 Vendor Assessment