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On TheCUBE Pod: AMD Nips at Nvidia's Heels, and IBM Undergoes Quiet Transformation

The artificial intelligence competition is no longer between large language models, but rather between AI systems.

Advanced Micro Devices Inc.

has shifted from being primarily a chip business to a secondary player in the race to build a system of intelligence.

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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