Gemini Intelligence Specs Exclude Pixel 9, Galaxy Z Fold 7

Google unveiled its latest AI initiative, Gemini Intelligence, this week, setting stringent hardware specifications for Android devices that will limit its availability. Devices as recent as the Pixel 9 series and the Galaxy Z Fold 7 will not support the new features due to specific component requirements, notably the need for advanced AI processing capabilities and substantial RAM.

Gemini Intelligence represents Google's effort to integrate its most powerful artificial intelligence capabilities into premium Android smartphones. The suite of features includes enhanced autofill functions, an upgraded voice-to-text system within Gboard called "Rambler," and a "Create my Widget" tool. These advancements are designed to offer a more intuitive and intelligent user experience on compatible devices.

According to a footnote on Google's official Gemini Intelligence page, the minimum requirements are substantial. Devices must feature a "flagship chip," be equipped with 12GB or more of RAM, and support AI Core and Gemini Nano version 3 or higher. Additionally, eligible phones must be slated to receive at least five major Android OS upgrades and six years of quarterly security updates, alongside meeting certain quality metrics regarding device stability and performance.

The requirement for Gemini Nano v3 is particularly significant, as it dictates which current devices can run the new AI model. Google's developer documentation indicates that support for Nano v3 is predominantly limited to devices launching in 2026, with exceptions like the upcoming Pixel 10 series and the Oppo Find X9 series. This list notably excludes devices like the Pixel 9 and Samsung's Galaxy Z Fold 7, which are currently listed as supporting Nano v2. This distinction suggests these models may not immediately benefit from the full Gemini Intelligence experience.

Context on AI Hardware Demands

The stringent hardware demands for Gemini Intelligence highlight a growing trend in the smartphone industry: the increasing need for specialized processing power to run advanced artificial intelligence models directly on devices. While many AI features can be processed in the cloud, on-device AI offers benefits such as lower latency, enhanced privacy, and offline functionality. However, it necessitates powerful, often custom-designed, chipsets and significant amounts of RAM, pushing the boundaries of current mobile hardware capabilities.

Google's strategy appears to be focusing on its highest-end devices to ensure optimal performance and user satisfaction for these cutting-edge AI features. This approach could also be a strategic move to encourage consumers to upgrade to newer, more powerful models to access the latest AI advancements. The company has stated that Gemini Intelligence will begin rolling out to select Pixel and Samsung Galaxy devices later this year, with unconfirmed reports suggesting the Galaxy Z Fold 8 might be among the first to feature these capabilities.

The RAM requirement of 12GB also raises questions about potential future hardware decisions. Recent rumors had suggested that the upcoming Pixel 11 series might reduce RAM allotments, with a potential drop to 8GB for the base model. However, the high requirements for Gemini Intelligence could indicate that such a reduction might not occur, or that Google intends to differentiate its flagship AI-ready devices through hardware specifications like RAM capacity.

The exact impact of the Gemini Nano v3 requirement and whether older devices could gain support through future software updates remains unclear. Google's developer page focuses on the Prompt API support for Nano v3, leaving some ambiguity about the broader capabilities of Gemini Intelligence on slightly older hardware. As the technology evolves, manufacturers will continue to balance the pursuit of AI innovation with the practicalities of device compatibility and consumer accessibility.