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#082 - Memory Tiering, CXL and Project Peaberry featuring Arvind Jagannath!

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Manage episode 434954466 series 2987137
Content provided by Duncan Epping, Frank Denneman, Johan van Amersfoort, Duncan Epping, Frank Denneman, and Johan van Amersfoort. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Duncan Epping, Frank Denneman, Johan van Amersfoort, Duncan Epping, Frank Denneman, and Johan van Amersfoort 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.

Arvind Jagannath, a platform product manager at Broadcom, discusses memory tiering and its benefits for customers with Duncan. He explains that enterprise applications are becoming more memory-bound and require better performance. Memory tiering helps address the CPU to memory imbalance that many customers face, allowing for better CPU utilization and reducing costs. Arvind also mentions the challenges of expanding memory and the need for a solution like memory tiering. He introduces Project Capitola, which has evolved into NVMe-based memory tiering, and discusses the benefits and recommendations for using NVMe devices. Arvind also touches on the integration of memory tiering with advanced vSphere features like DRS and HA, and hints at future developments with Project Peaberry and CXL.

Takeaways

  • Enterprise applications are becoming more memory-bound and require better performance.
  • Memory tiering helps address the CPU to memory imbalance and improves CPU utilization.
  • NVMe-based memory tiering provides additional memory capacity and reduces costs.
  • Integration with advanced vSphere features like DRS and HA is being developed.
  • Future developments include Project Peaberry and the use of CXL for intelligent devices.

Links

Disclaimer: The thoughts and opinions shared in this podcast are our own/guest(s), and not necessarily those of Broadcom or VMware by Broadcom.

  continue reading

83 episodes

Artwork
iconShare
 
Manage episode 434954466 series 2987137
Content provided by Duncan Epping, Frank Denneman, Johan van Amersfoort, Duncan Epping, Frank Denneman, and Johan van Amersfoort. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Duncan Epping, Frank Denneman, Johan van Amersfoort, Duncan Epping, Frank Denneman, and Johan van Amersfoort 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.

Arvind Jagannath, a platform product manager at Broadcom, discusses memory tiering and its benefits for customers with Duncan. He explains that enterprise applications are becoming more memory-bound and require better performance. Memory tiering helps address the CPU to memory imbalance that many customers face, allowing for better CPU utilization and reducing costs. Arvind also mentions the challenges of expanding memory and the need for a solution like memory tiering. He introduces Project Capitola, which has evolved into NVMe-based memory tiering, and discusses the benefits and recommendations for using NVMe devices. Arvind also touches on the integration of memory tiering with advanced vSphere features like DRS and HA, and hints at future developments with Project Peaberry and CXL.

Takeaways

  • Enterprise applications are becoming more memory-bound and require better performance.
  • Memory tiering helps address the CPU to memory imbalance and improves CPU utilization.
  • NVMe-based memory tiering provides additional memory capacity and reduces costs.
  • Integration with advanced vSphere features like DRS and HA is being developed.
  • Future developments include Project Peaberry and the use of CXL for intelligent devices.

Links

Disclaimer: The thoughts and opinions shared in this podcast are our own/guest(s), and not necessarily those of Broadcom or VMware by Broadcom.

  continue reading

83 episodes

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