EfficiencyOverSize
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NVIDIA’s Moat Was Never About Bigger Models — It’s About Control

What happens when the biggest advantage in AI — massive compute — stops being so massive? For the past two years, NVIDIA’s moat has looked unassailable. If you wanted to train a frontier model, you needed clusters of H100s the size of small data centers. GPUs weren’t just helpful; they were the gatekeepers. That scarcity…
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