# Alphabet Developing More Efficient AI Chip

Google's new chip aims to run AI models faster and more efficiently.

- **Source:** [US Top News and Analysis](https://brifing.si/source/635540e9-943e-450d-ae52-ae0bfe3b67eb)
- **Published:** 2026-07-20
- **Topic:** [Data & AI](https://brifing.si/c/data-ai)
- **Original article:** <https://www.cnbc.com/2026/07/20/alphabet-googl-stock-ai-chip-report.html>
- **On Brifing:** https://brifing.si/s/479a217a-d73f-44cb-95ce-ffc220f311f1

## Alphabet's New AI Chip

Alphabet is developing a new server chip, dubbed 'Frozen v2,' to run Gemini models more efficiently. The chip aims to reduce computation and data movement, enhancing overall performance.

## Hardware and Software Integration

Google is co-designing hardware and software to optimize systems for real-world workloads. This approach ensures AI models run faster and more efficiently.

## Advantages Over TPUs

The new chip can process six to ten times more tokens per unit of power compared to Google's current AI chips, TPUs. This represents a significant performance boost.

## Addressing Compute Shortage

Google is developing this chip to address an internal compute shortage. This shortage had forced Google Cloud to turn away external business and led to a deal with SpaceX.

## Flexibility and Compatibility

The new chip will only work with future Gemini models, requiring Google to maintain its underlying architecture. This trade-off limits flexibility but ensures optimization.

## Competition and Future

Google faces increasing competition in AI. Chinese models are gaining traction among U.S. companies, and Google has lost researchers to rivals. The new chip could be a crucial step in staying competitive.

## Sources covering this story

- https://www.cnbc.com/2026/07/20/alphabet-googl-stock-ai-chip-report.html — 

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_Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._
