Over the past two years, the AI space has been the focus of cyclical technology waves. After years of accumulation and development, software and hardware technologies such as neural networks, deep learning Xi, large models, big data, speech recognition, image recognition, edge computing, high-computing CPUs and GPUs have become increasingly mature. AI began to spread to the mass user base in the form of AIGC. Therefore, the driving force for the continuous growth and development of AIGC does not only come from the theory, but also needs to be driven by a set of mature solutions.
Against this backdrop, it is necessary to pay attention to the future market prospects of AI. The essence of the AI market is to seek optimal solutions based on algorithms and data. Therefore, for AI leaders such as Intel, AMD or NVIDIA, the important issue is not simply algorithm innovation, but to promote the application of big data technology through a series of innovative methods and strategies, so as to transform algorithm innovation into market competitiveness. Therefore, AI companies should not only focus on algorithm innovation and new architecture research and development, but also pay attention to the optimization of model ecology and cooperation and collaboration between enterprises.
The concept of AI has been laid out by Intel for a long time
Although AMD has also been making continuous efforts on AI PCs, such as the newly launched Ryzen 8040 series, which integrates a dedicated NPU computing unit with 16TOPS computing power, but, unfortunately, it still uses the previous generation of Zen4 architecture cores, and not every 8040 processor integrates NPU, combined with AMD's chaotic naming conventions, it is very difficult for consumers to choose high-performance AI PCs.
In contrast, after Intel renewed the Core brand, through the new Core Ultra series product line planning, Intel successfully introduced a dedicated NPU AI engine into each Core Ultra processor, thereby reducing the difficulty of consumers in making decisions when purchasing AI PCs. This move will undoubtedly help promote the widespread adoption of AI PCs in the market and improve the user experience of consumers.
On the other hand, AMD is relatively late in the AI field, and it was not until 2020 that it launched the first AI PC equipped with AMD Radeon Graphics - APEX AG100, which is based on 7nm process technology, and has significantly improved performance and energy efficiency compared with the previous generation of products, but it still needs to be strengthened in the ecological construction of AI applications, although its product performance and energy efficiency are also improving, but further breakthroughs are needed in some key technologies and applications.
From the inside out, we help our ecological partners
Take Intel Corporation, for example, which is one of the few companies in the industry that can provide bottom-up solutions for the entire industry chain. Intel offers solutions that cover the entire AI technology stack, from hardware to software, and from the underlying architecture to the upper-layer applications.
Intel works closely with more than 100 independent software vendors (ISVs) to drive more than 300 AI capabilities and continues to improve the overall performance and user experience of PCs in areas such as audio effects, content creation, gaming experience, security, live interaction, and collaboration.
At the practical application level of terminals, Intel has also ushered in a situation where a hundred flowers are blooming. For example, the localized "Intel Large Language Model Application", a 13th generation Core Intel thin and light laptop equipped with 16GB memory can easily run a large language model with a parameter amount of up to 16 billion, and the supported models include Llama LLAMA2, ChatGPTM ChatGPT2, etc., ChatGPT-like AI dialogue methods can solve tasks such as creation and translation, which greatly improves security and efficiency.
Based on Intel Core processors, Iris XE core graphics and Arc A750 graphics cards, the Stable Diffusion WebUI accelerated by OpenVino can run on ordinary Intel Core laptops without pressure. Line drawings provide users with a faster and more efficient 3D design experience.
In 2024, the development of artificial intelligence (AI) on PC platforms will be crucial. In addition to traditional PC giants AMD and Intel, Qualcomm is also ready to enter the game. For consumers, it is necessary to keep their eyes open and try to find AI PC products that have a forward-looking layout in terms of software and hardware. In fact, low-power consumption and high-efficiency execution of more AI application-related computing is needed in the future, and Intel's triple advantages of new processes, new processes, and new architectures, coupled with the ecosystem of cooperation with many software (application) vendors, go straight to AI applications!So where will the scale of superiority fall next?Let's wait and see!
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