Gemini Intelligence hardware requirements mean Pixel 9 and Galaxy Z Fold 7 miss out on AI features

Reviewed byNidhi Govil

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Google announced Gemini Intelligence this week with demanding hardware requirements that exclude most Android phones from accessing its advanced AI capabilities. The system requirements include at least 12GB of RAM, support for Gemini Nano v3, and a flagship chip—criteria that even recent devices like the Pixel 9 series and Samsung's Galaxy Z Fold 7 don't meet. Most phones released before 2026 are currently ineligible.

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Google Sets Steep Hardware Requirements for Gemini Intelligence

Google unveiled Gemini Intelligence earlier this week during The Android Show at I/O, positioning it as one of the most significant advances for the platform

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. The umbrella term covers Google's most advanced AI capabilities, including features like Gboard's new voice-to-text "Rambler" feature, enhanced Chrome auto-fill that handles complicated forms, and Create My Widget

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. However, the hardware requirements are so demanding that most Android phones won't qualify—including some of Google's own recent flagships.

According to footnotes on the Gemini Intelligence landing page, devices need at least 12GB of RAM, a flagship chip, and support for AI Core and Gemini Nano v3 or higher

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. Google also demands at least five years of OS updates, six years of quarterly security updates, and strict quality levels around crash rates and system stability

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. These high spec requirements mean premium Android devices from just last year are already excluded.

Gemini Nano v3 Creates Major Barrier for Existing Devices

The requirement for Gemini Nano v3 support proves to be the biggest obstacle for existing Android phones. A Google developer page reveals that Nano v3 currently runs on almost exclusively 2026 releases, with notable exceptions being the Pixel 10 series and Oppo Find X9 series

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. The list of compatible devices includes the Google Pixel 10 series, Samsung Galaxy S26 lineup, OnePlus 15 range, Honor Magic 8 Pro, and various models from Vivo, Oppo, Realme, and other manufacturers

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Notably absent from this list are the Pixel 9 series, Samsung Galaxy S25 line, Galaxy Z Fold 7, and Galaxy Z Flip 7—all of which still run Gemini Nano v2

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. Even the Pixel 7 Pro and Pixel 8 Pro, which meet the 12GB of RAM requirement, lack Gemini Nano v3 support

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. While it's possible that software updates could bring v3 support to some devices, there are no guarantees at this stage

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Why AI Capabilities Demand Such Powerful Hardware

Gemini Intelligence functions as an AI agent capable of performing multi-step tasks that require launching apps on your behalf, such as booking restaurants and creating custom widgets

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. For these features to work quickly and reliably, Google needs to run a small but recent AI model like Gemini Nano v3 on-device, which demands large amounts of computing power and memory

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The 12GB of RAM requirement is particularly telling about Google's broader AI plans. This specification is aggressive, especially given that leaks have suggested the base Pixel 11 might ship with only 8GB of RAM

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. If these system requirements are accurate, those earlier leaks may not be completely correct, as it would be unusual for Google to heavily market advanced on-device AI features while simultaneously reducing memory capacity on its flagship phones

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What This Means for Android Users and Future Devices

Google says Gemini Intelligence will debut on Pixel and Samsung Galaxy devices later this year, with rollout scheduled to start this summer

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. Reports suggest Samsung's Galaxy Z Fold 8 and Z Flip 8, both expected in July, might be the first devices to launch with these features, followed by Google's Pixel 11 with a possible August premiere

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This approach marks a return to the days when using major new software features frequently required new hardware, not just OS updates

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. The situation remains somewhat unclear, as Google's documentation specifically mentions support for Gemini Nano's Prompt API rather than directly confirming whether older devices are permanently excluded

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. There's still a possibility that some phones could gain compatibility through future Android updates or backend upgrades

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. For now, users eager to experience Gemini Intelligence will likely need to purchase one of the newest flagship Android phones to access these advanced AI capabilities.

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