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The Age of Inference: Generative AI & Sustainability

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Manage episode 496304890 series 2132334
Content provided by Embedded Computing Design. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Embedded Computing Design 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://podcastplayer.com/legal.

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In this episode of Embedded Insiders, Rich and I sit down with Sid Sheth, CEO and co-founder of d-Matrix, to explore the ongoing generative AI boom—why it’s becoming increasingly unsustainable, and how d-Matrix is addressing the challenge with a chiplet-based compute architecture built specifically for AI inference.

Next, Ken brings us up to speed on some of the week’s top embedded industry headlines, with updates from ASUS IoT, LG, and Microelectronics UK.

But first, Rich, Ken, and I share our thoughts on the state of generative AI and AI inference.

For more information, visit embeddedcomputing.com

  continue reading

277 episodes

Artwork
iconShare
 
Manage episode 496304890 series 2132334
Content provided by Embedded Computing Design. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Embedded Computing Design 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://podcastplayer.com/legal.

Send us a text

In this episode of Embedded Insiders, Rich and I sit down with Sid Sheth, CEO and co-founder of d-Matrix, to explore the ongoing generative AI boom—why it’s becoming increasingly unsustainable, and how d-Matrix is addressing the challenge with a chiplet-based compute architecture built specifically for AI inference.

Next, Ken brings us up to speed on some of the week’s top embedded industry headlines, with updates from ASUS IoT, LG, and Microelectronics UK.

But first, Rich, Ken, and I share our thoughts on the state of generative AI and AI inference.

For more information, visit embeddedcomputing.com

  continue reading

277 episodes

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