Google has officially announced Gemini Intelligence, its most advanced suite of AI features coming to Android devices starting this summer. However, the company has also revealed stringent hardware requirements that will prevent the vast majority of current Android phones from accessing these capabilities. According to the official Gemini Intelligence landing page, devices must have at least 12GB of RAM, a flagship-class chipset, and support for AI Core and Gemini Nano version 3 or higher.

What is Gemini Intelligence?

Gemini Intelligence is an umbrella term for Google's latest AI-powered tools integrated deeply into Android. These features include Gboard's new voice-to-text feature called "Rambler," an enhanced version of Chrome autofill capable of handling complex forms, and the innovative "Create My Widget" tool that can generate custom widgets from brief descriptions. The suite represents Google's push to make AI assistants more proactive and contextually aware.

The development of Gemini Nano, Google's on-device large language model, has been ongoing since late 2023. Initially, it was available only on Pixel 8 Pro, requiring specialized hardware acceleration. Over time, Google refined it to run on more devices, but version 3 introduces even more demanding compute requirements. The new version is optimized for multimodal tasks, processing text, images, and audio simultaneously, which explains the high memory and chip requirements.

Hardware Requirements Break Down

The most immediate barrier is the 12GB RAM requirement. This eliminates all but the most recent flagship phones from brands like Samsung, Xiaomi, and OnePlus. For example, the entire Pixel lineup before the Pixel 7 Pro has 8GB RAM or less. Even the Pixel 7 Pro, Pixel 8 Pro, and Pixel 8a have only 12GB, while the Pixel 9 series also has 12GB. According to Google's footnote, only devices with at least 12GB can run Gemini Intelligence reliably.

The second requirement is a "flagship chip." This generally means a Snapdragon 8 Gen 3 or newer, MediaTek Dimensity 9300 or newer, Exynos 2400 or newer, or a Tensor chip from the Pixel 9 series onwards. However, the chip must also support AI Core and Gemini Nano v3. As Android Authority contributor AssembleDebug discovered, Google maintains a developer list of devices that support Nano v3. Surprisingly, most of those devices were released in 2026, with the Pixel 10 series and OPPO Find X9 series being the only exceptions from the current generation.

This means the Pixel 7 Pro, Pixel 8 Pro, and Pixel 9 series—all of which were launched as flagship devices with 12GB of RAM and Tensor chips—do not meet the requirements. The same applies to Samsung's Galaxy Z Fold 7 and the upcoming Galaxy TriFold. These phones miss out on Gemini Intelligence despite being among the most powerful Android devices available.

Impact on Users and Ecosystem

The high barrier to entry creates a segmentation in the Android ecosystem. Only users with the newest and most expensive devices will benefit from advanced AI features, while those with even year-old flagships are left behind. This could accelerate upgrade cycles, as tech enthusiasts may feel compelled to buy 2026 phones to access the latest AI capabilities.

Google's strategy mirrors Apple's approach with Apple Intelligence on iOS 18, which also requires the latest hardware (iPhone 15 Pro or newer with A17 Pro chip). However, Apple's requirements are less restrictive than Google's, as the iPhone 15 Pro has 8GB RAM, while Google demands 12GB. This highlights the computational intensity of Gemini Nano v3 versus Apple's on-device models.

Industry analysts point out that Google might be using these requirements to push hardware partners toward higher RAM and more powerful NPUs (Neural Processing Units). Many mid-range and even some flagship phones from 2023 and early 2024 still ship with 8GB or 10GB RAM. To support Gemini Intelligence, manufacturers will need to increase memory in upcoming models, which could raise costs but also improve multitasking performance overall.

Another factor is the AI Core service, a system-level component that manages AI task scheduling and memory allocation. Not all devices have this, and it requires kernel-level support. Google is gradually rolling out AI Core through Google Play Services updates, but the hardware must be capable.

Historical Context: Google's AI Journey

Google has been integrating AI into Android for years, starting with Google Assistant in 2016. Assistant relied on cloud processing for most tasks. With the introduction of Pixel 6's Tensor chip in 2021, Google began moving AI processing on-device for privacy and speed. Gemini Nano was the next step, offering a compact version of the Gemini model that runs locally. However, each iteration has increased demands.

The requirement for Gemini Nano v3 specifically suggests that Google has significantly upgraded the model's capabilities. Version 3 likely includes support for real-time translation, advanced image understanding, and more natural voice interactions, all of which require substantial computational resources.

Google's developer documentation indicates that Gemini Nano v3 is optimized for hardware with at least 6GB of RAM for basic operations, but the higher 12GB requirement for Gemini Intelligence suggests that the full suite of features runs multiple models simultaneously or uses very large context windows.

List of Devices That Miss Out

Based on current data, the following devices do NOT meet the requirements for Gemini Intelligence:

• Pixel 7 Pro (12GB RAM, Tensor G2, lacks Nano v3 support)
• Pixel 8 Pro (12GB RAM, Tensor G3, lacks Nano v3 support)
• Pixel 9 series (12GB RAM, Tensor G4, lacks Nano v3 support)
• Galaxy Z Fold 7 (12GB RAM, Snapdragon 8 Gen 3 for Galaxy, lacks Nano v3)
• Galaxy TriFold (similar to Fold 7)
• OnePlus 12 (12GB-16GB RAM, Snapdragon 8 Gen 3, but no Nano v3)
• Xiaomi 14 series (12GB RAM, Snapdragon 8 Gen 3, but no Nano v3)
• OPPO Find X7 Ultra (12GB RAM, Dimensity 9300, no Nano v3)

Devices that meet the requirements are primarily from 2026, including Pixel 10 series, OPPO Find X9 series, and upcoming Samsung Galaxy S26 series (likely with Exynos 2600 or Snapdragon 8 Gen 5).

What This Means for the Future

Google's decision to lock Gemini Intelligence behind such high requirements signals a shift in the Android hardware roadmap. Going forward, RAM may become a key differentiator, with 16GB becoming the new standard for flagship phones. Already, some 2025 devices like the OnePlus Ace 5 Pro and iQOO 13 offer 16GB options, but software support for AI features remains unclear.

Users who want to experience Gemini Intelligence will need to wait for 2026 flagship releases or consider the OPPO Find X9 series if they upgrade sooner. For now, the vast majority of Android users—including those with premium 2024 devices—will have to watch from the sidelines.

Google has not announced any plans to backport Gemini Intelligence to older hardware. The company may offer a subset of features for devices with less RAM, similar to how some AI features were limited to Pixel 8 Pro initially and later came to other Pixels. However, official documentation currently lists the requirements as mandatory for the full suite.

The situation underscores the rapid pace of AI advancement and the increasing demands it places on mobile hardware. As AI models become more sophisticated, the gap between capable and non-capable devices will widen, potentially fragmenting the Android ecosystem more than ever before.

Source: Android Authority News