According to reports from Electronic Enthusiasts, Rockchip has recently responded to numerous questions regarding edge AI. For instance, to what extent has edge AI developed? How long until it enters an industrial explosion period? Which fields will be the first to experience an explosion in edge AI? How will edge AI chips replace traditional chips and be applied across various industries? What is the market potential?
Explosion and Prospective Application Fields of Edge AI Industry
Rockchip stated that, with the continuous iteration and upgrade of AI large models both domestically and internationally, the capability density of models is constantly improving, and edge large models are demonstrating increasingly outstanding performance. They possess multiple advantages such as low latency, low network dependency, data security, and privacy protection. By complementing the general large models in the cloud, they can accurately adapt to the application needs of different scenarios. This enables edge large models to be deployed in various fields of AIoT, effectively enhancing the autonomous decision-making and processing capabilities of AIoT smart devices, driving innovation in terminal products, and thus opening a new cycle of development for AIoT 2.0.Based on this development trend, the company is actively laying out plans to flexibly upgrade edge AIoT products and deploy edge models to meet the demands for suitable performance, bandwidth, and better power consumption, innovatively launching a series of edge computing co-processor product solutions. At the same time, it continues to iterate and improve the AIoT SoC main chip platform to provide hardware support for the impending explosion of AI edge applications across various industries.Driven by innovations in AI technology, the application scenarios for edge AI are continuously expanding, accelerating deployment in various fields such as automotive, robotics, education, home, healthcare, as well as industrial, agricultural, and service sectors. The AIoT across various industries contains vast development opportunities, and the company is very optimistic about the long-term development trend of AIoT.From a market perspective, edge AI chips are set to replace traditional chips in products across various industries, presenting a huge market space. According to IDC research, by 2025, the scale of China’s AIoT market will exceed 3.2 trillion yuan, and it is expected to rise to 8.6 trillion yuan by 2030, with China likely to become the world’s largest AIoT market.
Rockchip Products and Applications of RK3588 in Automotive Electronics and Robotics
In response to the widespread demand for deploying large models suitable for AIoT at the edge, Rockchip has innovatively launched a series of edge computing co-processor products. Among them, the first model with high computing power and bandwidth characteristics, the RK182X, was released in July this year, capable of efficiently supporting model deployments with up to 7 billion parameters, showing significant improvements in both performance and power consumption. This product can flexibly pair with AIoT SoCs to meet the innovative product needs of edge AIoT in different scenarios. In the future, the series will also plan to launch products with even higher computing power. Additionally, the company will continue to iterate on the AIoT SoC platform, with plans to release a series of products with higher computing power and bandwidth to provide robust hardware support for AI applications across various industries.Rockchip stated that this year it has made significant progress across multiple product lines in automotive electronics. In the smart cockpit field, the RK3588M has closely collaborated with several domestic automotive manufacturers, with mass production models reaching dozens, and new models and customers continuously emerging, with more models expected to be launched next year. In the automotive audio field, the RK2118M and RK2116M are used for external and internal amplifiers, respectively, and have already been adopted in over thirty projects, with customer and project expansions ongoing, and related models will be released and mass-produced successively. Meanwhile, the company actively promotes the RK182X smart cockpit AI Box solution to customers, providing a convenient intelligent upgrade path for traditional models through multi-modal fusion perception technology. However, due to confidentiality agreements with end customers, specific details about customers and models have not been disclosed.In the robotics field, the variety of robots, rich application scenarios, and broad market prospects are expected to maintain rapid development in the coming years. The RK3588, with its strong overall performance and high AI support efficiency, has been widely applied in various forms of robots and has been commercially deployed across industries, including humanoid robots, quadruped robots, service robots, industrial inspection robots, AGV handling robots, cleaning robots, and companion robots.
Statement: This article is compiled from reports by Electronic Enthusiasts, please indicate the source when reprinting. For group discussions, please add WeChat elecfans999, for submission of interview requests, please send an email to [email protected].
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