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The Memory Maze: Copper, Optics, and the Future of AI Data Movement
As AI models grow larger and more autonomous, every query requires extraordinary volumes of data to move quickly between memory and compute, making data movement one of the defining challenges for next-generation AI infrastructure.
In this episode of Tech Threads, Nandan Nayampally speaks with Srujan Linga, CEO and co-founder of Kandou AI, about why the industry’s so-called “memory wall” is actually a multidimensional “memory maze,” shaped by different requirements for bandwidth, latency and capacity.
They explore the limitations of relying exclusively on high-bandwidth memory, the untapped…
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