Nvidia's Challengers: The Silicon Schism Reshaping AI Chips
<p>A deep dive into the emerging <em>“Silicon Schism”</em>—the split between general-purpose GPUs and specialized AI chips reshaping the global compute landscape. This episode unpacks how NVIDIA’s CUDA-driven dominance is being challenged by hyperscalers building custom silicon (TPUs, Trainium, Maia), and why the future of AI hinges on efficiency, cost per token, and control of infrastructure.</p><p>Beyond architecture, it explores the real bottlenecks—lithography, memory, packaging, and critical materials—and the growing divide between training and inference hardware. From nuclear-powered AI campuses to optical computing and AI-designed chips, this is a forward-looking view of the next decade of compute, where geopolitics, supply chains, and economics will define who wins the AI race.</p><p></p>