UNITED STATES — Ekhbary News Agency
Alphabet, Google’s parent company, is reportedly designing a new server chip, internally dubbed “Frozen v2,” aimed at significantly boosting the operational efficiency of its in-house Gemini AI models. This strategic development, for what it’s worth, positions Google within a growing trend of tech giants seeking proprietary hardware solutions for their advanced AI infrastructure.
Projected Efficiency and Market Reaction
The Information, citing unnamed sources, indicates the "Frozen v2" chip could achieve six to ten times greater efficiency compared to Google’s existing AI chips, specifically in terms of tokens generated per unit of power. While Google did not directly confirm or deny the report to TechCrunch, stating only that its teams "constantly researching and experimenting," the news of a potential 2028 release appears to have assuaged investor concerns. Google’s stock notably climbed some 3% on Monday morning following the report's publication, ahead of its earnings report later this week.
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Industry Shift Towards Custom AI Hardware
This move by Google underscores a broader industry effort to develop custom AI chips, driven by the need for more efficient model operation and to mitigate global shortages in AI computing capacity. Companies like OpenAI, which unveiled its "Jalapeño" inference processor in June, and Anthropic, reportedly in discussions with Samsung for a chipmaking partnership, exemplify this shift. Such efficiency gains are becoming a critical selling point as the initial market euphoria around AI faces scrutiny over substantial investment costs. Alphabet itself plans to spend between $180 billion and $190 billion, making the success of initiatives like "Frozen v2" crucial for demonstrating a return on these massive investments and reducing dependence on dominant chipmakers like Nvidia.
