Podcast Episode Details
Back to Podcast EpisodesPodcast #141: Graid Delivers Enterprise RAID Functionality to AI Workloads
Gain insight into improving RAID performance for AI workloads with Graid SupremeRAID AE.
Storagereview has worked with Graid on numerous projects, including our most recent review, Storage at GPU Speed, and they continue to impress. In this podcast, Brian chats with his friend, Kelley Osburn, Senior Director of OEM and Channel Business Development at Graid Technology.
Kelley is responsible for developing and executing the OEM and channel sales strategy, managing key partnerships and relationships, and expanding the company’s market presence and revenue. He leverages his expertise in flash memory, data storage, virtualization, cloud, DevOps, and containers/Kubernetes to deliver value-added solutions to our customers and partners.
Graid Technology delivers enterprise-grade RAID functionality for AI workloads with minimal infrastructure changes. Instead of a dedicated hardware RAID card or custom appliance, AE is offered as a software license and uses only a small share of an existing NVIDIA GPU. This enables organizations to achieve enterprise-grade storage performance and reliability without consuming additional PCIe slots, requiring infrastructure changes, or significantly impacting GPU performance for training and inference workloads.
Brian and Kelley dive into the functionality of the Graid solution, why it’s critical in today’s AI landscape, and what the future holds.
If you are interested in improving RAID performance for AI workloads without adding more GPUs to your existing racks, this podcast delivers.
If you don’t have time to listen to th
Published on 3 weeks ago