Recently, Chengdu Huayi revealed on its interactive platform that it has successfully developed a specialized AI chip for the edge computing field. This chip boasts an AI computing power of up to 16 Tops and is currently undergoing limited trial use among several clients in specific industries. The new chip not only offers robust computing power but also demonstrates excellent performance in video encoding and decoding, supporting video processing capabilities of up to 8K resolution. This represents a significant technological advancement for applications such as video surveillance and smart homes.

According to Intelligent Eruption, embodied intelligent agent operating system developer Yunjinwei recently announced the completion of an angel round financing of several million yuan, led by iFlytek. This round of financing will be used for core technology product development and market ecosystem construction. Founded in June 2021, Yunjinwei focuses on the development of embodied intelligent agent operating systems. The company was founded by Dr. Wang Wenyu, former general manager of the hardware division of Yitu Technology, and co-founder Dr. Zhou Chang was formerly responsible for visual large model development at Alibaba's DAMO Academy for the Urban Brain. The team has received support from Ningbo's Yaojiang Talent Plan and Yongjiang Talent Engineering Plan.

Vivo's OS product vice president Zhou Wei announced that the company will unveil its brand new Blue Heart Large Model at next month's developer conference. This new model will encompass large models in various fields including language, speech, vision, multimodal, and edge computing. Zhou emphasized in the statement that artificial intelligence (AI) will become a core technology and a key driver in the development of mobile operating systems over the next five years, playing a significant role in various modules such as audio-visual entertainment and office collaboration. Vivo plans to integrate the Blue Heart Large Model into its latest OriginOS 5 system.

The generative AI market is developing rapidly, with projections estimating it will reach $40 billion by 2024 and soar to $1.5 trillion by 2030, achieving an impressive annual growth rate of 83%. Its applications are vast, spanning text, images, and music. As AI technology shifts towards edge computing, the share of AI-related software and services is expected to significantly increase over the next five years, projected to account for 32% and 55% of the market by 2030, becoming a crucial driver of market expansion.

The T-MAC (Table-Lookup-based MAC) technology aims to address the memory and computational constraints of deploying large language models (LLMs) on edge devices. By quantizing model weights into low-bit representations, T-MAC replaces traditional multiplication operations with look-up tables (LUT), significantly enhancing running efficiency on CPUs. This method greatly reduces the memory required for calculations, enabling billion-parameter LLMs to run efficiently on resource-constrained devices for smart upgrades. Compared to existing implementations, T-

NVIDIA's release of the L40S may shift investors' focus towards AI edge computing. The L40S is a compute-accelerating graphics card suitable for applications such as graphic rendering, training and inference of large AI models, 3D design, and video processing. The generative AI inference performance of the L40S is 1.2 times higher than that of the A100, and its training performance is 1.7 times higher.