IBM Unveils 0.7nm Chip Tech, Stacking Transistors in 3D for AI Era

IBM has revealed a 0.7-nanometer chip technology that stacks transistors in 3D, doubling density and boosting performance for AI. Production could start within five years, intensifying the race with TSMC and Intel.

By Inside AI June 25, 2026
AI neural network visualization

June 25, 2026, (Inside AI) — IBM on Thursday revealed what it calls the world's first technology for producing chips smaller than 1 nanometer, a milestone in the semiconductor industry's relentless pursuit of packing more power into tinier spaces. The new process yields a transistor architecture of 0.7 nanometers, or 7 angstroms, a scale that once seemed physically impossible.

The breakthrough, announced from Armonk, New York, sent IBM shares up over 6% in premarket trading, though they remain down about 11% for the year. The timing is critical as chipmakers struggle to sustain Moore's Law while meeting the explosive computational demands of modern AI systems.

IBM's advance directly challenges contract manufacturing giants TSMC and Intel, both racing to deliver next-generation nodes. Last week, Intel said its 18A process, making 1.8-nanometer chips, moved into risk production—the final testing stage before commercial manufacturing.

IBM's 0.7-nanometer chip crams nearly 100 billion transistors onto a fingernail-sized surface. That's about double the density of its 2-nanometer chip from 2021, delivering up to 50% higher performance or 70% greater energy efficiency.

The secret is a new transistor design called "nanostack." Instead of laying transistors flat, the design stacks them vertically in three dimensions, squeezing more into the same volume. It's a fundamental rethinking of chip architecture, not just a shrink.

"With our new nanostack architecture, we're not just making smaller transistors, we're reinventing how chips are built to deliver dramatically more power and energy efficiency," said Jay Gambetta, director of IBM Research.

IBM says production could begin within five years. The company has previously licensed chip technologies to Samsung and Japan's Rapidus. It has not yet named a manufacturing partner for this technology, leaving open questions about how quickly it can scale.

The announcement underscores a broader industry shift toward 3D stacking and novel materials as traditional scaling hits atomic limits. While IBM has no mass-production fabs, its research arm consistently pioneers foundational breakthroughs that others later commercialize. The nanostack approach could redefine chip design for the AI era, where power and thermal constraints are as critical as raw speed.

More from Inside AI

  • Machine Learning

    Anthropic Accuses China’s Alibaba of Largest-Ever Claude AI Model Theft

    June 25, 2026
  • Generative AI

    China’s Z.ai Narrows AI Frontier Gap with GLM-5.2 After Anthropic Shutdown

    June 25, 2026
  • Artificial Intelligence (AI)

    Amazon Pours $13 Billion into India AI Data Centres as Cloud War Intensifies

    June 25, 2026
  • Artificial Intelligence (AI)

    Mumbai Embraces AI Crowd Monitoring at Top Sites Before Ganeshotsav

    June 25, 2026
  • Artificial Intelligence (AI)

    China’s AI and Rare Earth Leverage Exposes Fragile U.S. Ties, Scholar Warns

    June 25, 2026
  • Machine Learning

    IBM Unveils 0.7nm Chip Tech, Stacking Transistors in 3D for AI Era

    June 25, 2026
  • Generative AI

    Facebook Launches AI-Powered Creator Studio App in India to Boost Creator Growth

    June 25, 2026
  • Agentic AI

    MIT and Microsoft’s Murakkab Slashes AI Agent Energy Use by 73%

    June 25, 2026

Never Miss a Breakthrough

Join 50,000+ readers who get our daily AI intelligence briefing. No fluff, just what matters.

Inside AI is an independent publication covering artificial intelligence news, machine learning research, and the tools shaping the future of technology. No fluff. No hype. Just what matters.

Topics

  • Artificial Intelligence
  • Machine Learning
  • Generative AI
  • Agentic AI
  • Vibe Coding
  • Prompt Engineering
  • AI Tools & Reviews (Coming soon)

Company

  • Editorial Standards
  • Privacy Policy
  • Terms of Service
  • Contact

© 2026 Inside AI. All rights reserved.

Designed by Blue Flare Digital