Google is reportedly working on a new AI chip that would allow it to run its Gemini AI model more efficiently.
According to a report from The Information, the chip, known internally as ‘Frozen v2,’ would have Google Gemini decisions built in, thus reducing the number of steps necessary to move data around – decision-making is often the most time-consuming process for chips that are able to run multiple AI models.
– Sebastian Moss
As a result, the report claimed that the new chip could be six to ten times more efficient than Google’s current TPU offerings and will be faster at responding to queries, potentially enabling the company to explore new AI applications. However, it was noted that Frozen is not intended to replace the TPU, but rather function as a separate branch of Google’s home-grown silicon efforts.
Google plans to deploy the chips in 2028, The Information said, with Frozen only set to be usable for later generations of Gemini. The company also doesn’t intend to produce as many Frozen chips as TPUs, with sources cited in the report claiming this would allow Google to bring external design and manufacturing partners in on the project at a later date.
