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Scale-Up & Scale Out: Addressing the Demands of Modern AI Networks

Scale-Up & Scale Out: Addressing the Demands of Modern AI Networks

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On this episode of Embedded Insiders, Aravind Srikumar, SVP of Product & Marketing at Upscale AI, joins the podcast to discuss how the company is tackling both scale-up and scale-out networking, why it's important to address both sides of the networking equation, and today's requirements for an AI-optimized network.

(Upscale AI's recent announcement with NVIDIA: https://upscaleai.com/upscale-ai-supercharges-open-heterogeneous-scale-out-ai-clusters-with-nvidia-ethernet-switch-silicon/)

Next, Rich is joined by David Sandys, the Senior Director of Technical Enablement and Engagement at DigiKey, with a recap of embedded world.

But first, Ken and I are talking about the advanced packaging trend, and how it seems the industry is shifting from the traditional chip scaling approach that is Moore's Law.


For more information, visit embeddedcomputing.com

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