How AI requirements differ from other HPC workloads
Delivering the Best Performance for Machine Learning Workloads
Leveraging AI is a must for enterprises that want to extract the maximum value from their data and stay competitive. But to do so requires a reexamination of the storage infrastructure: AI and machine learning demand much greater performance and scalability than the typical NAS system can provide.
In the following custom webcast, two experts dig into the storage challenges associated with supporting AI and machine learning workloads and how AI requirements differ from other HPC workloads.
Join here for the details and for a first-hand look at a storage solution that provides the performance, reliability, and scalability these workloads require.