IBM and Siemens Energy Partnered on Nanostack Chips
The companies have launched a research collaboration to accelerate the development of advanced nanostack semiconductor architecture.
Updated on Oct. 14, 2026 in Semiconductors
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IBM and Siemens Energy have formed a new research partnership to advance the design and manufacturing of nanostack semiconductor architecture. This collaboration aims to scale the architecture for commercial use to support rising AI computing and power demands.
Why it matters
The partnership seeks to shorten technology development cycles by combining IBM semiconductor research with Siemens electronic design and manufacturing software. The initiative addresses the increasing need for higher performance and power efficiency in future computing systems.
The 7 angstrom node chip accommodates nearly 100 billion transistors on a 150mm2 surface area. It features a 40% improvement in SRAM memory scaling compared to previous designs.
The players
IBM
An American multinational technology corporation that specializes in computer hardware, software, and artificial intelligence research.
Siemens Energy
A German-based global energy company that provides services in energy technology, electronic design automation, and industrial manufacturing.
The details
The nanostack design utilizes a three-dimensional, nanosheet-based architecture to pack significant computing power into a smaller footprint. By integrating IBM's semiconductor expertise with Siemens' lithography optimization and process simulation software, the companies intend to overcome current manufacturing limitations.
Timeline
IBM launched its nanostack architecture in June 2026.
IBM announced the research collaboration with Siemens Energy on October 14, 2026.
The Tech Race
The nanostack architecture marks a significant technological leap in transistor density and performance relative to the industry standard 2nm node semiconductor architecture. This partnership highlights the intensifying competition to bridge the gap between design and high-volume manufacturing for next-generation AI processors.
While the technology is currently in the research phase, the eventual commercialization of these high-density chips could lead to faster and more efficient consumer electronics. Users may experience significant improvements in the performance and battery life of future AI-powered devices once this tech enters mass production.
The takeaway
The collaboration signals a shift toward vertical integration in chip development to meet the extreme demands of modern AI hardware. Readers should watch for updates on manufacturing milestones as these designs move closer to industrial application.
What happens next
IBM is scheduled to report its quarterly earnings for the period ending October 2026 on October 21, 2026.
Further reading
Learn more about the latest innovations in the Semiconductors sector.
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