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In this episode of Tech Threads, Nandan Nayampally sits down with Sally Ward-Foxton (EE Times) and Dr. Ian Cutress (More Than Moore) for an unfiltered look at the state of AI, from the far edge to hyperscale data centers.
Ahead of the recording, we asked our LinkedIn followers to weigh in on some of the biggest questions in AI today, from bottlenecks in system design to the future of GPUs. Those poll results are revealed and discussed in the episode, bringing your insights directly into the conversation.
The discussion covers where the real bottlenecks lie in AI system design, whether “AI at the edge” is living up to the hype, and if GPUs will continue to dominate or give way to new architectures. With insights on hardware-software co-design, open vs proprietary ecosystems, and the realities of scaling AI infrastructure, this episode blends deep technical perspective with candid industry observations.
If you care about AI performance, power efficiency, and what’s next in compute architecture, this is a discussion you won’t want to miss.
Ahead of the recording, we asked our LinkedIn followers to weigh in on some of the biggest questions in AI today, from bottlenecks in system design to the future of GPUs. Those poll results are revealed and discussed in the episode, bringing your insights directly into the conversation.
The discussion covers where the real bottlenecks lie in AI system design, whether “AI at the edge” is living up to the hype, and if GPUs will continue to dominate or give way to new architectures. With insights on hardware-software co-design, open vs proprietary ecosystems, and the realities of scaling AI infrastructure, this episode blends deep technical perspective with candid industry observations.
If you care about AI performance, power efficiency, and what’s next in compute architecture, this is a discussion you won’t want to miss.
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