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Alphabet is developing an internal server chip called Frozen v2 slated for 2028 release. The chip targets six to ten times greater efficiency than existing designs on tokens generated per unit of power. Alphabet shares rose 3 percent after the report.
wccftech.comAlphabet is designing a new server chip internally dubbed Frozen v2 to run its Gemini artificial intelligence models more efficiently. The chip is planned for release in 2028 and could deliver between six and ten times more tokens per unit of power than Google’s current AI chips. The Information reported the project, citing anonymous sources.
Google did not confirm or deny the effort when asked for comment by TechCrunch. “Our teams are constantly researching and experimenting with new innovations to deliver maximum performance and efficiency for our users and customers,” Google said. “While not every project moves into production, this rigorous exploration is central to our full stack approach.
Other AI companies have moved to build custom chips. OpenAI announced its Jalapeño inference processor in June. Anthropic has discussed a chipmaking partnership with Samsung. Google earlier this year said it plans to spend between $180 billion and $190 billion on AI infrastructure.
News of the Frozen v2 chip lifted Alphabet shares 3 percent in early trading ahead of the company’s earnings report later this week.
forbes.comZ.ai's GLM-5.2, released in June 2025, ranks as the top open-source model by some benchmarks and fifth on OpenRouter usage. DeepSeek's earlier R1 release in January 2025 triggered a trillion-dollar drop in U.S. tech values and calls for bans.
swissinfo.chResearchers copied large volumes of public NASA climate and environmental data to a Swiss supercomputer. The transfer supports AI model training and creates a backup amid U.S. funding reductions.
eonline.comChris Fall stepped down after three months leading the Center for AI Standards and Innovation. Arvind Raman was named acting director. The agency operates under the Department of Commerce.