Google plans new chip to run Gemini models more efficiently, the Information reports

The Alphabet-owned company expects the new chip, informally dubbed "Frozen v2," to help address an AI computing capacity crunch that has fueled internal tensions and ⁠prompted Google Cloud to decline deals with outside customers, the report said.

Shares of Alphabet were up 3.3% in early trading.

Here are some details:

- Google plans to deploy the chip as soon as 2028, though engineers are still finalizing its design and the amount of model information that will be hardwired, the report said.

- The chip could be six to 10 times more efficient than Google's latest custom AI chips ‌based ⁠on the number of AI tokens served per unit of power, according to the report.

- "Our teams are constantly researching and experimenting with new innovations... By co-designing our hardware and software from the ground up, we ensure ⁠our systems are integrated and highly optimized," a Google Cloud spokesperson said.

- The 'Frozen' project is aimed at creating a new set of homegrown chips apart from ⁠Google's tensor processing units (TPUs), rather than replacing them, the report said.

- Bloomberg News reported last week that Google delayed the launch of its ⁠latest Gemini AI model after it fell short of internal goals, with the company working to improve its capabilities, particularly in coding.