IBM announces a revolutionary breakthrough: chips with transistors smaller than 1 nm
IBM Corporation has introduced an innovative semiconductor manufacturing technology that enables the creation of chips with a transistor architecture of just 0.7 nm, equivalent to 7 angstroms. This step marks another stage in the miniaturization of electronic components, where traditional physical limitations of silicon are beginning to fade.
The key innovation lies in the use of a so-called "nanostack" structure. Unlike the classic planar layout, where transistors are arranged in a single plane, the new method places them in multiple layers. This allows for a radical increase in integration density without expanding the chip area.
According to developers' estimates, this approach will enable the placement of nearly 100 billion transistors on a chip the size of a fingernail. For comparison, this is comparable to the density of modern processors, but with a qualitatively different level of performance. IBM claims that the new chips will be 50% faster or 70% more energy-efficient compared to the 2 nm technology the company introduced in 2021. This means that even with the same power consumption, a significant increase in computing power can be achieved, which is critically important for data centers and high-performance computing.
According to IBM's forecasts, commercial production of such chips could begin within five years. However, it is worth considering that the path from a laboratory prototype to mass production involves serious engineering challenges, including the development of new materials and lithography equipment. Nevertheless, this announcement underscores that the race for nanometers has not stopped but has moved to a fundamentally new level — into the realm of angstroms.
Expert opinion: This development is not just another step in microelectronics, but a paradigm shift. If the nanostack architecture is successfully implemented in mass production, it could lead to a revision of the entire technological roadmap of the semiconductor industry, where leaders such as TSMC and Samsung are already planning a transition to 1.4 nm and 1 nm. IBM demonstrates that even beyond sub-1 nm, there is room for growth, and this opens new horizons for quantum computing and AI.