Google’s Gemini technologycan most easily be described as the company’s most significant consumer-facing AI initiative. Gemini is alarge language model (LLM), which is a computational natural language network. These LLMs play a key role in powering AI chatbot technologies.
AI is all the rage these days in the tech space –OpenAI’s ChatGPT,Microsoft’s Copilot,Meta’s Llama, and others all vying for dominance in what is essentially a technological arms race.
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Full-sized LLMs that power so many ofthe latest AI featuresare simply too complex and energy intensive to run on somethinglike a smartphone. To combat this, miniaturized LLMs have been created that are more suitable for running locally and entirely on-device.
Google’sGemini Nanois one such solution, and the search giant has ambitious plans to weave it into the fabric of theAndroid mobile operating system. The benefits of Gemini Nano’s on-device nature are clear: less reliance on the internet, speedier performance, less energy wastage, and improved user privacy.
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1Which Android handsets currently have Google Gemini Nano built in?
At present, only a small helping of Android phones have access to the feature
The following Android phones are all endowed with Google’s on-device large language model:
As expected, most of these phones all share something in common: they happen to be high-end flagship models from important OEM brands. It’s no surprise to see Google Pixel and Samsung Galaxy phones topping the list – the former represents hardware that is custom-made by the creators of Gemini Nano, and the latter brand pushes by far the most units within the Android market in North America.
It’s no surprise to see Google Pixel and Samsung Galaxy phones topping the list.
The inclusion of Motorola, Xiaomi, and Realme handsets are less likely additions, each brand accounting for a much smaller consumer base in the United States. That being said, these aforementioned brands are immensely popular on the world stage, and Google fosters close relationships with its hardware partners across the globe.
It’s worth noting that Google has createda couple of distinct iterationsof Gemini Nano, and not every phone on this list is compatible with every new Android AI feature the company has released or is currently testing.
The Pixel 9 series, which is Google’s latest and greatest flagship offering, is currently the only handset lineup with access to the very latest edition of Gemini Nano. With that, a number of Pixel-exclusive AI features are best served under the company’s latest hardware portfolio.
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2What’s next for Google Gemini Nano?
Expect the technology to rapidly improve, and to increasingly land on new Android flagships
As the race towards AI supremacy roars on, LLMs and their nano-sized counterparts will continue to improve, and likely at a rapid pace. As smartphone processorneural processing units (NPUs)continue to improve in both performance and efficiency, future prospects of on-device AI operating on any and every smartphone aren’t difficult to envision.
Though nothing can be said for certain, it’s a safe bet that all futureGoogle Pixel handsetswill launch with Gemini Nano out of the box. Google’s more affordable Pixel a lineup stands to benefit the most here, as the company goes out of its way to outfit the midranger with the same custom silicon it uses in its flagship devices.
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UpcomingSamsung Galaxyflagships are likely to come with Gemini Nano from the get-go as well. After all, Samsung’s market cachet is seemingly near-impenetrable in the US.
I would wager to guess that within the next couple of years, we’ll start to see on-device LLMs start to ship regularly on midrange Android phones in addition to their flagship cousins. For the time being, Gemini Nano is effectively a premium feature reserved for cutting edge devices, but the democratization of LLMs is all but certainly just around the corner.
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