Startup Aims to Build Hundreds of Chip Factories with Prefab Parts and AI

“To meet the world’s growing hunger for chips, a startup wants to upend the costly semiconductor fabrication plant with a nimbler, cheaper idea…” reports Fast Company, “an AI-enabled chip factory that can be assembled and expanded modularly with prefab pieces, like high-tech Lego bricks.” In other words, they want to enable what is literally a fast company… “We’re democratizing the ownership of semiconductor fabs,” says Matthew Putman, referring to chip fabrication plants. Putman is the founder and CEO of Nanotronics, a New York City-based industrial AI company that deploys advanced optical solutions for detecting defects in manufacturing procedures. Its new system, called Cubefabs, combines its modular inspection tools and other equipment with AI, allowing the proposed chip factories to monitor themselves and adapt accordingly — part of what Putman calls an “autonomous factory.” The bulk of the facility can be preassembled, flat-packed and put in shipping containers so that the facilities can be built “in 80% of the world,” says Putman. Eventually, the company envisions hundreds of the flower-shaped fabs around the world, starting with a prototype in New York or Kuwait that it hopes to start building by the end of the year… Nanotronics says a single Cubefab installation could start at one acre with a single fab, and grow to a four-fab, six-acre footprint. Each fab could be built in under a year, the company says, with a four-fab installation estimated to cost under $100 million. Nanotronics declined to disclose how much it has raised for the project, but Putman says the company has previously raised $170 million from investors, including Peter Thiel and Jann Tallin, the Skype cofounder… A single automated Cubefab will need only about 30 people to operate, “and they don’t have to be semiconductor experts,” says Putman. “AI takes away that need for that specialization that you would normally need in a fab.” […] Putman also hopes automation will help further reduce the environmental impact of an industry that’s notoriously resource-intensive and produces thousands of tons of waste a year, much of it hazardous. “Because you have the AI fixing the material and the device before it’s manufactured, you have less waste of the final material,” he says. Thanks to Slashdot reader tedlistens for sharing the news. Read more of this story at Slashdot.