Google reportedly develops Frozen v2 chip for Gemini AI

2026-07-21 · Source: Dataconomy · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Fundamental Awareness, quick

Summary

Alphabet, Google's parent company, is reportedly developing a new server chip, internally named "Frozen v2," slated for release in 2028. This chip aims to enhance the efficiency of its Gemini AI models, projecting a six to ten times improvement over Google's current AI chips based on power usage per token generated. Google, while not confirming the report, emphasized its "full stack approach" integrating hardware and software for optimized performance. This development aligns with a broader industry trend where AI companies like OpenAI (Jalapeño chip) and Anthropic (Samsung partnership) are creating custom silicon to improve model efficiency, mitigate global computing capacity shortages, and reduce reliance on Nvidia. The news led to Google's stock rising approximately 3%, easing investor concerns over its planned \$180-\$190 billion AI investments.

Key takeaway

For investors evaluating Alphabet's substantial AI investments, the reported development of the Frozen v2 chip signals a strategic commitment to long-term cost efficiency and performance optimization. Your assessment should factor in the potential for proprietary hardware to mitigate rising AI expenditures and reduce reliance on external suppliers like Nvidia. This vertical integration strategy could enhance Google's competitive edge and improve future profitability, justifying current high investment levels.

Key insights

Google is developing a highly efficient custom AI chip, Frozen v2, reflecting a broader industry shift towards proprietary silicon for AI.

Principles

• AI companies are developing custom chips to improve model efficiency.
• Proprietary hardware reduces dependence on external GPU providers like Nvidia.
• Integrating hardware and software optimizes AI system performance.

Topics

• Google Frozen v2
• AI Chip Development
• Gemini AI
• Custom Silicon
• AI Hardware Efficiency
• NVIDIA Market Share

Best for: Investor, AI Hardware Engineer, Tech Journalist

Related on AIssential

• Google is working on a new AI chip designed to make Gemini more efficient — AI companies are developing custom chips to boost model efficiency and reduce reliance on external hardware providers.
• Alphabet Stock Jumps After Information Report of New Google Chip — Google is developing "Frozen v2," a new AI chip 6-10x more efficient, integrating Gemini's blueprint.
• Google Plans New ‘Frozen’ Chip to Run Its AI Models Much More Efficiently — Google's "Frozen v2" chip directly integrates the Gemini AI model blueprint for 6-10x greater efficiency.
• Google's "Frozen v2" chip reportedly bakes Gemini's architecture directly into silicon for efficiency gains — Google's "Frozen v2" chip hardcodes Gemini's architecture for 6-10x AI inference efficiency, deploying 2028.
• Deepseek is designing its own AI chip — Deepseek, like other AI leaders, is developing custom inference chips to reduce external hardware dependency and control costs.
• Google to Release New AI Chips, Challenging Nvidia — Google is specializing its TPU program for AI inference to meet surging demand and maintain its competitive edge.

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Editorial summary, takeaway, and curation by AIssential. Original article published by Dataconomy.