“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,” Gambetta said. The technology demonstrates how continued gains in performance and efficiency remain possible even as chip features approach atomic dimensions and the industry faces the physical limits of traditional chip scaling, he said.
It’s the world’s first sub-1 nm chip technology, IBM claims.
IBM
The new chip is projected to offer up to 50% more performance, or 70% greater energy efficiency than IBM’s 2 nm node chips.
“With these sorts of power gains, the potential for 7 angstrom devices is sky high, with a massive potential impact on the world of AI. Today’s popular AI accelerators can produce about 1,500 TOPS (or trillions of operations per second), and IBM researchers estimate one using 7 angstrom technology could deliver about six times more, or around 9,000 TOPS. So if 7 angstrom chips were used to train today’s massive, frontier-model LLMs, we could drastically cut a typical training time from around three months to a couple weeks,” Mike Murphy of IBM research wrote in a blog about the new chip.
