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IBM has unveiled chip technology that could help extend Moore’s Law another decade

100 billion transistors on a fingernail. IBM just bought Moore's Law another decade—and that changes everything for AI compute.

Paper-cut illustration of an amber microchip with circuit paths extending into a row of data-center cabinets.
The infrastructure powering AI.AI illustration by KeyNews
The KeyNews take

Why it matters

IBM's sub-1nm chip breakthrough directly impacts AI infrastructure economics. Denser, faster, more efficient transistors mean lower compute costs and higher performance ceilings for training and inference—critical for companies competing on model scale and deployment.

The key facts

5 to know
  1. 100 billion transistors achieved at sub-1nm density

  2. 2x density improvement vs. IBM's 2021 state-of-the-art

  3. Prototype stage (not production)

  4. Implications for energy efficiency and compute performance in AI workloads

  5. Extends Moore's Law trajectory by ~10 years per headline claim

Go to the source

MIT Technology Reviewtechnologyreview.com

Publisher excerpt: IBM has built a new prototype chip with around 100 billion transistors on an area the size of a fingernail, which is twice the density of the company’s previous state-of-the-art technology announced in 2021. The design could pave the way for faster and more energy efficient computers for years to…
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