Google Develops New AI Chip Frozen v2 for Gemini Models

Key Takeaways

Google develops new AI chip for efficient Gemini models

Google is working on a new AI chip called Frozen v2 to improve the efficiency of its Gemini AI models. The chip is expected to be released in 2028 and could be six to 10 times more efficient than Google's current AI chips. This development is part of a larger trend of technology companies investing in custom AI chips to improve performance and reduce dependence on third-party hardware suppliers.

Google's new AI chip unlocks $462 billion backlog

Google's new AI chip, Frozen v2, is designed to improve the efficiency of its Gemini AI models and unlock a $462 billion backlog of cloud computing demand. The chip is expected to be released in 2028 and could help Google Cloud capture more of that backlog. The development of custom AI chips is a key part of Google's strategy to improve its cloud computing business.

Google working on new AI chip for Gemini efficiency

Google is developing a new server chip, called Frozen v2, to improve the efficiency of its Gemini AI models. The chip is expected to be released in 2028, but the company has not confirmed the report. Google is constantly researching and experimenting with new innovations to deliver maximum performance and efficiency for its users and customers.

China's AI doctrine challenges Europe

China's President Xi Jinping presented a doctrine for organizing AI that could reshape the global technological balance of power. The doctrine emphasizes China's corporate advances as a hallmark of a larger political project. China is seeking to impose its own vision of digital governance and is promoting a World AI Cooperation Organization.

China launches World AI Cooperation Organization

China has launched a new body called the World Artificial Intelligence Cooperation Organization (WAICO) to promote international cooperation on AI. The organization aims to make AI beneficial, safe, and fair for all. China is positioning itself as a leader in AI governance and is offering structured support to developing countries.

Investors bet on AI drug discovery

Investors are betting on AI drug discovery despite a gap in approvals. The global semiconductor equipment market is expected to hit a record high by 2028, driven by increased investment in AI infrastructure.

Tenable rides AI security trend

Tenable Holdings is leveraging AI-driven cybersecurity demand to drive growth in exposure management. The company's focus on artificial intelligence and machine learning is expected to drive growth in the cybersecurity market.

UiPath and AppLovin: AI-driven tech stock comparison

UiPath and AppLovin are two AI-driven tech stocks that have benefited from the growing adoption of AI technology. UiPath's AI orchestration strategy and improving profitability make it a more attractive investment option.

Closing the data gap in marketing

Marketers and data engineers often have different priorities, creating a costly gap between sophisticated data infrastructure and actual campaign outcomes. A new architecture aims to eliminate this gap by providing a unified foundation for customer, company, and content data.

Global semiconductor equipment sales to hit record high

Global semiconductor equipment sales are expected to hit a record high by 2028, driven by increased investment in AI infrastructure. The global semiconductor manufacturing equipment market is forecast to reach $229.5 billion in 2028.

Adobe's AI push and new coverage

Adobe has introduced new AI-powered capabilities for its experimental Project Indigo iPhone camera app. The company has also received new bullish coverage from CLSA, which expects Adobe's AI capabilities to drive growth and increase its market share.

Fed lacked access to Anthropic's AI model

The Federal Reserve lacked access to an advanced AI model known as Claude Mythos Preview for at least three months. The Fed convened an extraordinary meeting to warn banks about the model's potential cybersecurity risks.

Toward Anthropomorphic Dialogue

Researchers have developed a closed-loop framework for human-like chat generation, evaluation, and preference alignment. The framework combines a role-conditioned scheduled dialogue runtime with persona and scenario cards, long-term memory, and virtual time.

Sources

• Google develops new AI chip to improve Gemini efficiency
• Why Google's New AI Chip Is the Key to Unlocking Its Massive $462 Billion Backlog
• Google is working on a new AI chip designed to make Gemini more efficient
• China's AI doctrine is a challenge for Europe
• China’s New AI Club: The World Artificial Intelligence Cooperation Organization
• Investors bet on AI drug discovery despite approval gap
• TENB and the AI Security Trend Reshaping Exposure Management
• PATH or APP: Which AI-driven Tech Stock Should You Bet on?
• Data's Last Mile to Marketing
• Global semiconductor equipment market to hit record high by 2028 on AI infrastructure boom
• Will Adobe's (ADBE) Project Indigo AI Push and New Bullish Coverage Change Its Narrative?
• The Fed rang the alarm about Anthropic's Mythos AI model — but had to go months without it
• Toward Anthropomorphic Dialogue: A Closed-Loop Framework for Human-Like Chat Generation, Evaluation, and Preference Alignment