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OpenAI's custom ASIC targets the highest-volume compute segment, but training remains NVIDIA's moat.
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From memory bandwidth bottlenecks to custom ASICs and software deflation, a comprehensive analysis of the new competitive landscape.
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How TSMC's process advantage and packaging monopoly create both AI scaling limitations and exceptional profitability.
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As hyperscalers ramp up custom silicon, electricity—not chip supply—becomes the binding constraint, reshaping tech’s infrastructure race.
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NVIDIA's platform shift signals that optical components, not GPUs, are becoming the binding constraint for AI data centers.
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With sovereign AI buildouts sustaining pricing power and competitive silicon advancing, investors weigh the moat's durability.
