Artificial intelligence (AI) has become one of the hottest topics in the world today, and the AI wave led by ChatGPT is growing exponentially. As the world's leading semiconductor technology company, Intel has been deeply engaged in the AI field for many years, from the underlying hardware products and software development framework support, to data centers, servers, workstations, edge computing and personal consumer PCs, Intel has built a complete ecosystem for the development of AIGC, covering every link from R&D to implementation.
A pioneer in the introduction of AI technology into PCs.
EVO Certification is Intel's PC Experience Improvement Program based on Project Athena. It is considered to be the pioneer in bringing AI technology to PCs, and it is also one of the first AI PCs.
At the beginning of its launch, EVO certification has included features such as AI noise reduction, AI voice recognition, and input. These functions are realized by using AI technology, and the input audio, ** and other data are processed through AI algorithms to achieve noise reduction, speech recognition and other functions. The introduction of these functions makes the PC more intelligent in the process of use, and improves the user experience. It continuously introduces new AI applications, such as camera AI applications, to continuously improve and optimize the experience from every subtlety. These AI applications not only improve the performance and functionality of PCs, but also make PCs more convenient and intelligent to use.
In the era of AI for all, Intel has accumulated a lot of experience.
This year, we can see Intel in many places vigorously promoting the rapid popularization of the AIPCAIGC experience, and actively expanding the market awareness and influence of AIPCICAIGC through joint marketing and joint promotion. A variety of experiential activities are held offline or online, allowing users to experience the performance and functions that AIPC can support the needs of AIGC applications. Through the experience activities, users can understand the advantages and characteristics of AIPC more intuitively. Its propulsion strength and "station height" are not at the same level as other friends. Intel has actually had a very good experience and innovation on AI PCs, from AIGC applications, to more AI applications, Intel has run through, with the help of Intel's 13th generation core laptop platform, it has been possible to use AI software to achieve the best style conversion and special effects in the laptop locally. Intel provides super computing power for AI applications, and optimizes the hardware and software docking of large models, so that they can run smoothly on the laptop, which is not only fast and faster, but also does not have to worry about latency, and can better protect the privacy of users.
With the combination of software and hardware, Intel provides the optimal solution for AIPC.
To effectively implement AI on a PC, both software and hardware need to work together. Hardware performance is the cornerstone of AI implementation, and a large amount of computing resources will inevitably consume the performance of hardware devices such as CPU, GPU, and memory, and the level of hardware performance is directly related to the execution speed and efficiency of AI algorithms. While hardware performance is critical to the implementation of AI, optimizing software can further improve hardware utilization, reduce memory usage, reduce power consumption, and thus extend the life of the PC. Therefore, the interaction between hardware and software is the key to achieving efficient AI.
Software is a very important part of Intel's forward-looking layout. Intel offers an open-source toolkit called OpenVino, which helps developers optimize various AI tools into more efficient programs that run on x86 platforms. In this way, developers only need to write a program once and deploy it anywhere, greatly improving the efficiency of developing and using AI at the software level. At the same time, this also reduces the high requirements of AI on PC hardware performance, allowing more AI to run on ordinary thin and light laptops.
In terms of hardware, the next-generation Core Ultra, codenamed Meteor Lake, will be equipped with an independent NPU AI unit, with three AI engines of CPU + GPU + NPU, through a separate modular architecture, a dedicated NPU AI engine will be brought to each Core Ultra processor, which will bring a revolutionary personal AI experience. The AI dedicated chip NPU can take over continuous, low-load AI tasks from the CPU and GPU, and achieve high-efficiency operation with very low power consumption. Separating AI and AIGC applications from the cloud that runs on-premises not only runs faster and faster, but also does not have to worry about latency, and better protects the privacy of users.
Therefore, we can clearly foresee that the future competition in the field of AI PCs will not only focus on hardware performance, but also on who can better integrate software and hardware resources to meet the growing demand of users for AI computing. This trend will drive the entire industry towards a smarter and more efficient direction. And Intel, as the leader of this work, is allowing us to enter the era of AI-driven productivity faster.