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Nvidia's dominance is shifting from raw GPU competition to controlling the entire data center infrastructure around compute. As AI systems scale to gigawatt levels, the company's specialized hardware for data orchestration—CPUs, networking, storage—is becoming harder to replicate than the chips themselves.
- Nvidia's Vera CPU and supporting hardware deliver 3x performance improvements by optimizing data movement to GPUs, addressing a critical bottleneck as companies optimize for tokens-per-watt efficiency.
- Competitors like OpenAI are tackling the same data movement problem differently (integrated chips like Jalapeño), but the underlying challenge shows the competition has shifted from GPU design to full-system efficiency.
- Operating megascale data centers at peak efficiency is still incredibly difficult, creating a new competitive layer where system integration matters more than individual chip superiority.