MediaTek Leverages Meta's Llama 2 to Enhance On-Device Generative AI in Edge Devices

HSINCHU, Aug. 22, 2023

Presently, most Generative AI processing is performed through cloud computing; however, MediaTek's use of Llama 2 models will enable generative AI applications to run directly on-device as well. Doing so provides several advantages to developers and users, including seamless performance, greater privacy, better security and reliability, lower latency, the ability to work in areas with little to no connectivity, and lower operation cost.

To truly take advantage of on-device Generative AI technology, edge device makers will need to adopt high computing, low-power AI processors and faster, more reliable connectivity to enhance computing capabilities. Every MediaTek-powered 5G smartphone SoC shipped today is equipped with APUs designed to perform a wide variety of Generative AI features, such as AI Noise Reduction, AI Super Resolution, AI MEMC and more.

Additionally, MediaTek's next-generation flagship chipset, to be introduced later this year, will feature a software stack optimized to run Llama 2, as well as an upgraded APU with Transformer backbone acceleration, reduced footprint access and use of DRAM bandwidth, further enhancing LLM and AIGC performance. These advancements facilitate an expediated pace for building use cases for on-device Generative AI.

"The increasing popularity of Generative AI is a significant trend in digital transformation, and our vision is to provide the exciting community of Llama 2 developers and users with the tools needed to fully innovate in the AI space," said JC Hsu, Corporate Senior Vice President and General Manager of Wireless Communications Business Unit at MediaTek. "Through our partnership with Meta, we can deliver hardware and software with far more capability in the edge than ever before."

MediaTek expects Llama 2-based AI applications to become available for smartphones powered by the next-generation flagship SoC, scheduled to hit the market by the end of the year.