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NVIDIA Vera Rubin Driving Performance Per Watt, Lowest Token Cost for Partners Worldwide
NVIDIA Vera Rubin is here, and it's going gigascale.
Why It Matters
Expands physical compute availability and cluster efficiency, which are critical to training next-gen models.
Implications
- Lowers energy use and cost per token at massive training scales.
- Solidifies the provider's compute dominance, maintaining a hardware moat.
Strategic Outlook
Highlights that the speed of AI progress remains directly bound to silicon manufacturing cycles and energy supply constraints.
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