Accelerating Workflows

With Scale-Out AI Storage

Much of the growth in data centers is being driven by the need to store large quantities of unstructured data for AI and analytics.

Enterprises are reporting that they are increasingly looking at parallel file systems and scale out architectures to accommodate the need for the performance and capacity required to meet the needs of compute-heavy applications.

WATCH NOW TO LEARN:

What enterprise supercomputing looks like
Why parallel file systems are a must-have to achieve success in AI and analytics at scale
How to go about adoption the right way

WATCH NOW!

KEY TAKEAWAYS

If you didn’t have time to watch the whole webinar, here are some key takeaways.

Introducing Parallel File Systems into the Enterprise

Learn about high performance storage company, DDN, and why DDN storage solutions are perfectly fit for Enterprises trying to achieve AI success.

Featuring Tim Phillips from the Register, Kurt Kuckein from DDN and Eric Burgener from IDC.

How to Approach Pilot AI Programs

Learn about how the different stages of AI data processing have different IO requirements and how you can address those needs – and what NOT to do as well.

This video approaches how to avoid problems that may be encountered by adding multiple storage systems, and how to run pilot projects that will set you up for successful AI production environment. Featuring Tim Phillips from the Register, Kurt Kuckein from DDN and Eric Burgener from IDC.