Gemini Nano Is Helping With On-Device AI Features On Mid-Range Devices

Furqan Shahid
Gemini Nano is Helping with On-Device AI Features on Mid-Range Devices

2024 is all about generative AI coming to smartphones, and we started seeing this trend with companies like Samsung introducing on-device AI on the Galaxy S24 series. Then, chip makers started talking about how AI is going to arrive on their SoCs, as well. Now, we are hearing that Gemini Nano is going to help bring on-device generative AI to mid-range devices.

After flagships, it is now time for the mid-range devices to enjoy Gemini Nano with MediaTek's Dimensity 8300 getting some neat optimizations

MediaTek has announced that it is working with Google to integrate and optimize Gemini Nano for the Dimensity 9300 and the Dimensity 8300 chipset, with the latter offering being a mid-ranger. If you are not familiar with it, the Dimensity 9300 can already run the model locally.

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In the past, Google talked about how Gemini Nano is supported on all the flagship chipsets from companies such as Qualcomm, MediaTek, and Samsung. Now, thanks to MediaTek and Google working together, we are going to see the model come to mid-range phones as well.

So, what does this optimization mean for the user? Well, with Gemini Nano optimized to run on the Dimensity 8300, users who are in the market looking for a mid-range device that can still get some AI tasks done will not have to spend the extra money. You could just go for a more affordable option and still get to enjoy those features. Now, I understand that there will be some limitations in terms of functionality, but for the most part, I do not think that this will cause any issues for anyone.

MediaTek has claimed that the Dimensity 8300 is capable of supporting large language models with up to 10 billion parameters, which is an impressive claim, but the company has not talked about the supported token rate or, in simpler words, the processing time for AI models. This means that the Dimensity 8300 could offer slower performance with AI, but at least it will work, especially since the optimizations have been made to Gemini Nano.

Another thing to note here is that since Gemini Nano is theoretically coming to the Dimensity 8300, this also means that the Snapdragon 7 Gen processors should also start getting something similar. Not to mention, the mid-range Exynos processors that are going to power the upcoming Galaxy A55 might as well also have on-device generative AI to some extent.

Of course, we cannot really comment on the situation just yet, but considering how Google's committed to delivering AI services to multiple products and services, and Gemini Nano has already found a place for itself on most devices, I am looking forward to seeing how the implementation goes for the more affordable devices.

News Source: MediaTek

Furqan Shahid Photo

About the author: I have been tinkering with Android devices ever since the early days of the HTC Desire. Over time, I have grown a fondness for the ecosystem and now I cannot live without it. Although some might believe that I have sold my soul to Android, but I believe it is not the case. You can find me writing tutorials and posting guides on a number of different smartphones. When I am not writing here, I am wasting myself away in books, journals, or on Steam.

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