Synopsys targets physical AI complexity with co-design and agentic chip workflows
The rapid evolution of intelligent software-defined systems is pushing chip design into a new era of physical AI, one where chip design complexity is outpacing traditional engineering methods.
Manufacturers are racing to cram hundreds of billions of transistors into components that power everything from autonomous vehicles to hyperscale data centers. As a result, designing silicon has become extraordinarily complex, according to Prith Banerjee (pictured), senior vice president of innovation at Synopsys Inc.
“It is one of the best applications you can imagine of applying AI to achieve a task,” Banerjee said. “There’s hardly anything more difficult these days than designing a chip.”
Banerjee spoke with theCUBE’s Dave Vellante and Bob O’Donnell at the AMD Advancing AI event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the recent strategic acquisition of Ansys alongside its resulting synergies and the long-term future of quantum computing within the electronic design automation space. (* Disclosure below)
