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AI Demands a New Storage Architecture with Hammerspace

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Manage episode 407963052 series 2434477
Content provided by Tech Field Day. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tech Field Day or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Hammerspace unveiled a new storage architecture called Hyperscale NAS that addresses the needs of AI and GPU computing. This episode of the On-Premise IT podcast, sponsored by Hammerspace, is focused on the extreme requirements of high-performance multi-node computing. Eric Bassier of Hammerspace joins Chris Grundemann, Frederic Van Haren, and Stephen Foskett to consider the characteristics that define this new storage architecture. Hammerspace leverages parallel NFS and flexible file layout (FlexFiles) within the NFS protocol to deliver unprecedented scalability and performance. AI training requires scalability, performance, and low latency but also flexible and robust data management, which makes Hyperscale NAS extremely attractive. Now that the Linux kernel includes NFS v4.2, the Hammerspace Hyperscale NAS system works out of the box with standards-based clients rather than requiring a proprietary client. Hammerspace is currently deployed in massive hyperscale datacenters and is used in some of the largest AI training scenarios.

Host: Stephen Foskett, Organizer of the Tech Field Day Event Series: https://www.linkedin.com/in/sfoskett/

Panel:

Frederic Van Haren, CTO and Founder of HighFens, Inc.: https://www.linkedin.com/in/fredericvharen/

Chris Grundemann, Managing Director at Grundemann Solutions: https://www.linkedin.com/in/cgrundemann/

Hammerspace Representative: Eric Bassier, Senior Director, Solution Marketing at Hammerspace: https://www.linkedin.com/in/eric-bassier/

Follow Gestalt IT

Website: https://www.GestaltIT.com/

Twitter: https://www.twitter.com/GestaltIT

LinkedIn: https://www.linkedin.com/company/Gestalt-IT

  continue reading

264 episodes

Artwork
iconShare
 
Manage episode 407963052 series 2434477
Content provided by Tech Field Day. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tech Field Day or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Hammerspace unveiled a new storage architecture called Hyperscale NAS that addresses the needs of AI and GPU computing. This episode of the On-Premise IT podcast, sponsored by Hammerspace, is focused on the extreme requirements of high-performance multi-node computing. Eric Bassier of Hammerspace joins Chris Grundemann, Frederic Van Haren, and Stephen Foskett to consider the characteristics that define this new storage architecture. Hammerspace leverages parallel NFS and flexible file layout (FlexFiles) within the NFS protocol to deliver unprecedented scalability and performance. AI training requires scalability, performance, and low latency but also flexible and robust data management, which makes Hyperscale NAS extremely attractive. Now that the Linux kernel includes NFS v4.2, the Hammerspace Hyperscale NAS system works out of the box with standards-based clients rather than requiring a proprietary client. Hammerspace is currently deployed in massive hyperscale datacenters and is used in some of the largest AI training scenarios.

Host: Stephen Foskett, Organizer of the Tech Field Day Event Series: https://www.linkedin.com/in/sfoskett/

Panel:

Frederic Van Haren, CTO and Founder of HighFens, Inc.: https://www.linkedin.com/in/fredericvharen/

Chris Grundemann, Managing Director at Grundemann Solutions: https://www.linkedin.com/in/cgrundemann/

Hammerspace Representative: Eric Bassier, Senior Director, Solution Marketing at Hammerspace: https://www.linkedin.com/in/eric-bassier/

Follow Gestalt IT

Website: https://www.GestaltIT.com/

Twitter: https://www.twitter.com/GestaltIT

LinkedIn: https://www.linkedin.com/company/Gestalt-IT

  continue reading

264 episodes

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