In the past two years, artificial intelligence (AI) technology has developed rapidly, and its application in personal computing devices has also become a new frontier in technological development. In particular, the rise of large models, AIGC and other technologies has brought AI into a new stage, which not only promotes the development of AI infrastructure and algorithms, but also accelerates the implementation of AI in terminal applications.
As the world's leading chip manufacturer, Intel is not only the pioneer of this concept, but also plays an important role in promoting the development of AI PC.
Not long ago, Intel launched the latest Core Ultra series of mobile processors, bringing Intel's most significant processor architecture innovation in 40 years - the split module architecture, the first integrated neural network processing unit (NPU), greatly advancing the practicality and efficiency of AI on personal computers (PCs), and also bringing new possibilities for the development of large models, AIGC and other technologies.
For example, large language models such as ChatGPT, Wenxin Yiyan, and Tongyi Qianwen used to be connected to the Internet for cloud computing, not locally on a computer. Although the cloud model is strong, it cannot serve users in a non-network environment.
With the help of a new platform architecture with stronger computing power, AI large models can not only be deployed locally on computers, that is, device-side large models, but can also be computed in a network-free environment, further realizing the local operation and optimization of 20 billion large language models. At the Intel AI theme event on December 15, Alibaba Cloud's Tongyi Qianwen model has been successfully adapted to the Intel Core Ultra platform, which can be deployed on PCs and other devices in the future, significantly reducing response time and improving operational efficiency. The device-side model and the cloud model complement each other to bring a more efficient user experience.
AIGC applications supported by AI models have also been greatly developed with the support of the Core Ultra series, further promoting the practical application of the AI PC concept. In addition to running locally, the Core Ultra series' powerful AI processing power also plays a key role. The advantages of AI computing in the NPU model are high performance and low power consumption, and in addition, the CPU with low latency and high response speed and the GPU with high performance and high throughput will also bear the demand for AI computing power.
Hardware alone isn't enough, and the AI PC experience is also heavily influenced by the performance of the software it comes with. In Intel's AI PC plan proposed this year, it aims to unite independent hardware vendors (IHV) and independent software vendors (ISVs) to give full play to the hardware and technical advantages of Core Ultra processors, so that AI PCs can truly benefit users and improve the user experience.
Intel is working with 100 independent software vendors (ISVs) to optimize Intel Core Ultra processors to deliver a rich set of AI applications and frameworks. Take an example of practical application: Intel and Byte's ** editing tool Jianying have optimized the "Smart Keying" function that users use frequently, and after putting the calculation of this function in the NPU of the first generation Core Ultra products, it not only processes ** materials faster, but also consumes less power, and the saved CPU and GPU computing power can be used for other editing needs, which greatly improves editing efficiency.
In addition, Intel has not only made breakthroughs in product research and development, but also established a wide range of academic cooperation resources with many universities and partners, and used the Core Ultra series to strengthen students' practical skills in the field of AI and machine learning, providing full-link support for the cultivation of AI talents, including joint scientific research, talent training, platform courses and competition challenges. Through these collaborations, Intel helps build practical training practices that are close to real-world projects and accelerates the deep integration of industry, academia, research and application.
In short, the launch of the Intel Core Ultra series of mobile processors not only achieved a major breakthrough in technology, but also opened up a new world for the application of AI in the field of personal computers, and also became an important node for AI PCs to officially enter the mass market and consumers. As AI is integrated into the workflow of developers and creators, the originally tedious, repetitive, and time-consuming work will be taken over by AI, and the focus of workers' work will return to the future layout and thinking about creativity itself, which greatly improves production efficiency.
As the proposer and important promoter of the AI PC concept, Intel will continue to invest more resources to make AI and PC highly integrated at the ecological level, and work closely with universities and enterprises, which not only promotes the development of AIGC technology, but also provides strong support for the cultivation and practice of AI talents, bringing a brighter future for AI PC.