Google's New AI Chip: More Efficient Gemini Models Underway
Alphabet is reportedly developing a new AI chip, codenamed "Frozen v2", designed to streamline the execution of Gemini models. The chip could significantly improve performance and energy efficiency.
What happened?
According to The Information, Alphabet is developing a server chip with the working name "Frozen v2". This chip is designed to handle Google's Gemini models more efficiently. A key feature is that parts of Gemini's architecture are permanently embedded into the chip itself.
Key facts
| Chipnamn | Frozen v2 (intern) |
|---|---|
| Syfte | Effektivisera Gemini-modeller |
| Potentiell förbättring | 6-10x fler tokens per energienhet |
”Alphabet shares climbed following a report by The Information that the company is developing a new server chip designed to run Gemini models more efficiently.”
”The chip, called "Frozen v2," would permanently embed parts of Gemini's architecture directly into the silicon, according to the report.”
”Google engineers project it could serve between six and ten times more tokens per unit of power than the company's newest AI chips called TPUs, the outlet said.”
Why it matters
The new chip's design aims to reduce the computations and data traffic required to answer queries. Google engineers estimate that Frozen v2 can handle 6 to 10 times more tokens per unit of energy compared to current TPUs, indicating significant efficiency gains.
Who is affected?
The development of Frozen v2 primarily affects Google DeepMind and its AI research. It could also potentially impact developers using Google's AI platforms as well as users of services powered by Gemini models through improved performance.
What else you should know
In a statement, Alphabet said they continuously research innovations for maximum performance and efficiency, but noted that not all projects enter production.
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- Assess technical risk: model choice, vendor lock-in, data flow and running cost.
- Update the architecture doc if new APIs or regulations touch production.
- Ensure observability + rollback plan before rolling out to production.
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