Google is developing a new server chip, codenamed Frozen v2, designed to run its Gemini AI models with six to ten times greater efficiency per unit of power compared to its current TPUs Source: lavanguardia. The chip integrates parts of Gemini's logic directly into silicon, reducing data movement and mathematical operations, according to The Information Source: lavanguardia.
Frozen v2 is a specialized chip separate from Google's TPU line, aiming to alleviate computing capacity shortages that have caused internal tensions Source: elespanol. The chip could be deployed as early as 2028, but it remains a pilot project and may not reach production Source: larepublicaco.
Following the news, Alphabet's shares rose up to 3.7%, reaching $359.68 in New York Source: larepublicaco. The development reflects a broader trend among AI leaders like OpenAI and Anthropic to create custom chips for competitive advantage Source: larepublicaco.
Frozen v2's extreme specialization poses a risk: if Gemini's architecture changes, the chip could become obsolete Source: lavanguardia. Google has not committed to mass production, emphasizing that not all explorations become products Source: elespanol.
“Los ingenieros de la compañía estiman que el nuevo chip podría procesar entre seis y diez veces más información (medida en tokens) por unidad de potencia que las actuales TPU (unidades de procesamiento tensorial) más potentes de la empresa.”
“Las acciones de Alphabet subieron hasta 3,7%, alcanzando US$359,68 en Nueva York.”
“El chip, conocido internamente como "Frozen v2", pretende aliviar la escasez de capacidad de computación que ha generado tensiones dentro de la compañía y obligado a Google Cloud a rechazar acuerdos con algunos clientes externos.”
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