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Episode 59: Discussing All Things AI Accelerators With Austin Lyons

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Manage episode 407620024 series 3428472
Content provided by Ben Bajarin and Jay Goldberg, Ben Bajarin, and Jay Goldberg. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ben Bajarin and Jay Goldberg, Ben Bajarin, and Jay Goldberg 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.

In this conversation, Ben Bajarin, Jay Goldberg, and Austin Lyons discuss the semiconductor industry and the role of AI accelerators. They cover topics such as the future of Intel, the spectrum of AI accelerators, the dominance of Nvidia in training, the failure of accelerator startups, and the debate between general-purpose and specialized accelerators. They also explore the issue of GPU bloat and the need for alternative solutions in the accelerated computing space. The conversation explores the challenges of porting software to new architectures, the reluctance to switch from Nvidia, the potential for startups to disrupt the AI hardware market, Grok's approach to inference as a service, the need for purpose-built AI architectures, the struggle of custom chip design, and the sustainability of custom chip efforts.

  continue reading

74 episodes

Artwork
iconShare
 
Manage episode 407620024 series 3428472
Content provided by Ben Bajarin and Jay Goldberg, Ben Bajarin, and Jay Goldberg. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ben Bajarin and Jay Goldberg, Ben Bajarin, and Jay Goldberg 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.

In this conversation, Ben Bajarin, Jay Goldberg, and Austin Lyons discuss the semiconductor industry and the role of AI accelerators. They cover topics such as the future of Intel, the spectrum of AI accelerators, the dominance of Nvidia in training, the failure of accelerator startups, and the debate between general-purpose and specialized accelerators. They also explore the issue of GPU bloat and the need for alternative solutions in the accelerated computing space. The conversation explores the challenges of porting software to new architectures, the reluctance to switch from Nvidia, the potential for startups to disrupt the AI hardware market, Grok's approach to inference as a service, the need for purpose-built AI architectures, the struggle of custom chip design, and the sustainability of custom chip efforts.

  continue reading

74 episodes

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