NAVIGATION
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Infrastructure

AMD Takes on Nvidia, US Takes on Chinese AI Models and AI Spending Still Spooks Investors

Maybe Nvidia ultimately won't win the entire AI enchilada, even as it reminded everyone this week that it offers everything you need to build AI factories.

Why It Matters

Expands physical compute availability and physical AI world models, enabling real-time autonomous robotics and low-latency edge intelligence.

Implications

  • Lowers energy use and cost per token at massive datacenter and edge training scales.
  • Solidifies NVIDIA's compute and networking interconnect (NVLink/Spectrum-X) moat across hardware clusters.

Strategic Outlook

Highlights that the speed of AI progress remains directly bound to silicon manufacturing cycles, energy capacity, and physical world modeling.

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