Crypto news

25.06.2026
18:16

IBM introduces 0.7nm chip technology: a breakthrough in nanotech and 100 billion transistors

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IBM Corporation has announced a new technology for manufacturing semiconductor chips with a transistor architecture at the 0.7 nanometer level, equivalent to 7 angstroms. This announcement marks another step in the race for miniaturization, but the key innovation here is not simply a reduction in size, but a fundamentally new approach to layout.

The development is based on the concept of a "nanostack": transistors are placed not in a single plane, but in several vertical layers. This three-dimensional scaling allows for a radical increase in element density. In my estimation, this solution breaks traditional lithography limitations, enabling the circumvention of physical barriers that have constrained the development of classical planar structures.

According to IBM data, applying this technology to a chip the size of a fingernail would allow for the placement of nearly 100 billion transistors. For comparison, this is several times higher than the density of current 5nm and 3nm solutions from leading manufacturers. The expected performance increase is up to 50% compared to the 2nm process presented by IBM itself in 2021. At the same time, energy efficiency could be increased by as much as 70% — a critically important metric for data centers and mobile devices.

Commercial implementation of the technology is projected to take about five years. However, I would note that serious challenges stand in the way of mass production: from equipment costs to defect control in multilayer structures. Nevertheless, if IBM manages to realize this plan, we will witness a new round in the evolution of computing technology that could outpace even the boldest predictions of the semiconductor industry roadmap.

Expert Commentary: From my perspective, the shift to a nanostack is not just an incremental improvement, but a paradigm change. If the 2nm process already seemed like the limit, then 0.7nm with vertical scaling opens the path to teraflop-level computing in the palm of your hand. However, investors should be cautious: the five-year timeline looks optimistic, and actual implementation could be delayed due to technological and economic barriers.