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Google has developed the "Frozen v2" AI chip, which is expected to be released in 2028. The energy efficiency will be improved by up to 10 times. Google's parent company Alphabet is developing a new AI server chip code-named "Frozen v2" to improve the operating efficiency of the independently developed Gemini model.
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Source: Telegram AI频道
Google is developing the "Frozen v2" AI chip, which is expected to be released in 2028 and will increase energy efficiency by up to 10 times. Google's parent company Alphabet is developing a new AI server chip code-named "Frozen v2" to improve the operating efficiency of the independently developed Gemini model. According to The Information, citing anonymous sources, the chip is expected to be launched in 2028, and its efficiency in generating the number of tokens per unit of energy consumption may be 6 to 10 times that of Google's existing AI chips. In response to related reports, Google told TechCrunch that the company continues to explore and test innovative technologies to improve system performance and efficiency, but not all R&D projects will eventually achieve mass production. Google emphasized that through the "full-stack development" model of hardware and software co-design, it can create a more integrated computing system optimized for actual AI workloads. In recent years, with the rapid expansion of generative AI applications and global demand for AI computing power, technology companies have increased investment in self-developed chips to improve model operation efficiency and reduce dependence on external suppliers. NVIDIA has long dominated the AI chip market with its GPU technology, prompting AI companies such as OpenAI and Anthropic to also begin exploring independent chip routes. In June this year, OpenAI released the first customized inference chip "Jalapeño"; recently, Anthropic was also revealed to be negotiating chip manufacturing cooperation with Samsung. Alphabet previously announced that it plans to invest US$180 billion to US$190 billion in order to promote the strategic development of artificial intelligence. As the scale of investment in AI infrastructure expands, chip efficiency has become an important indicator of return on investment. After the announcement of Frozen v2, market confidence increased. Alphabet's stock price rose about 3% in early trading on Monday after the report was released. Investors are paying attention to whether its AI investment can be transformed into long-term competitive advantage. As the scale of AI models continues to grow, self-developed chips are becoming an important strategic direction for technology companies to build a computing power ecosystem and improve cost control capabilities. Google’s layout also reflects that competition in the AI industry is extending from model capabilities to competition in chips, infrastructure and full-stack technology systems. via AI News (author: AI Base)