MediaTek and Google Unveil Integration of Gemini Nano with Dimensity 9300 and 8300 SoCs

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In an effort to advance Generative AI capabilities on smartphones, MediaTek and Google have successfully integrated and optimized Gemini Nano, Google’s Large Language Model (LLM), with MediaTek’s Dimensity 9300 and 8300 chipsets. This collaboration aims to enable developers and OEMs to provide on-device Generative AI features to end users efficiently and effectively.

Integration and Optimization

By working together to integrate and optimize Gemini Nano, Google’s LLM, with MediaTek’s flagship and premium chipsets, the companies are laying the groundwork for bringing on-device Generative AI to smartphones. This effort includes collaboration with Google using MediaTek’s NeuroPilot toolkit and porting Gemini Nano to MediaTek APU to improve performance.

Advantages of On-Device Generative AI

On-device Generative AI offers numerous advantages over cloud computing, including seamless performance, greater privacy, improved security and reliability, lower latency, the ability to function in areas with limited or no connectivity, and reduced operational costs. These benefits are expected to enhance the user experience while also empowering developers to create innovative applications.

Unveiling an APK for Developers and OEMs

In the near future, MediaTek and Google plan to unveil an APK running on the Dimensity 9300 and 8300 chipsets, providing developers and OEMs with a valuable resource for deploying Gemini Nano applications. This step is intended to support the development and implementation of on-device Generative AI features, furthering the integration of AI technology into mobile devices.

Moving Forward

The collaboration between MediaTek and Google represents a significant advancement in the integration of on-device Generative AI capabilities in smartphones. As both companies continue to invest in creating ecosystems for AI technology, this partnership is poised to have a positive impact on the future of mobile devices and applications.

The successful integration of Gemini Nano with Dimensity 9300 and 8300 chipsets underscores the commitment to advancing AI technology in the mobile space, paving the way for enhanced capabilities and user experiences.

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