Google Is Building an AI Chip Just for Gemini—And Investors Already Moved On It
In briefGoogle is reportedly developing a server chip called Frozen v2 that hardwires part of Geminis architecture into silicon.Based on reports, engineers project six to ten times the efficiency of current TPUs and a 2028 deployment target.Alphabet shares climbed roughly 3% during Mondays trading session after the news broke, ahead of Q2 2026 earnings due Wednesday, July 22. Google is building a chip designed for one job: running Gemini faster and cheaper. The chip, codenamed Frozen v2, was reported by The Information on Monday and gives Google a potential answer to a problem it cant spend its way out of fast enough: It is running out of capacity to serve the AI demand it has already generated. In March, Google told Meta it couldnt fill the volume of Gemini compute Meta wanted to purchase. Meta had to instruct employees to ration their AI usage. Google—spending up to $190 billion on AI infrastructure this year—was turning away customers because it didnt have enough servers to serve them. So now its building a chip designed only for its AI models. There‘s not much information about this new chip, but by naming convention it’s not another upgrade to Googles Tensor Processing Units (TPUs)—the custom chips Google has been