Data Storage for AI Success


  • Hewlett Packard Enterprise

About This Webinar

Many organizations are pursuing AI initiatives that have become critical for competitive advantage and business success. Because of the extreme data demands involved in AI workloads, you must have data storage that can reach AI scale for performance, simplicity, and efficiency. The data storage infrastructure must be able to deliver on all three fronts through all the stages of AI.

Many AI projects fail because of data storage scalability limits, complexity, and lack of efficiency, resulting in loss of productivity from highly expensive GPU and people resources.

No matter where you are in your journey to tap the power of AI, data storage at AI scale is essential to your success.

Register now to reserve your seat for a dynamic discussion about the game-changing benefits that you can experience with HPE storage solutions for AI.

  1. Keith Ward

    Host Keith Ward Webinar Moderator ActualTech Media

  2. Stephen Bacon

    Featuring Stephen Bacon Senior Director for File, Object, and AI Storage Hewlett Packard Enterprise

  3. David Yu

    Featuring David Yu Senior Product Marketing Manager for Storage Hewlett Packard Enterprise

What You'll Learn

  1. Why many AI projects fail because of data storage infrastructure that cannot achieve AI scale, span all the stages of AI, deliver efficiency, and optimize utilization of GPUs.
  2. The specific demands on storage as data flows through the stages of AI, starting with data aggregation through data preparation, training and tuning, and inference.
  3. How HPE provides a comprehensive portfolio that covers all AI data storage needs through all the stages of AI.