Proactively Expanding in the AI Computing Power Cloud Service Market: Investment Research on the AI Computing Power Industry
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In the development of the digital economy, computing power is the core productive force, and investing in computing power has a long-term multiplier effect on economic growth. The 'China Computing Power Development Index White Paper (2023)' released by the China Academy of Information and Communications Technology shows that in 2022, China's total computing power reached 302 EFlops, with intelligent computing power accounting for 178.5 EFlops, growing at a rate of 72%. It is projected that by 2025, intelligent computing power will exceed 1,800 EFlops.
According to the '2021-2022 Global Computing Power Index Evaluation Report,' for every 1-point increase in a country's computing power index, its digital economy and GDP will grow by 3.5‰ and 1.8‰, respectively. When a country's computing power index reaches 40 or 60 points, the driving force of computing power for GDP growth will increase by 1.5 times and 3.0 times, respectively. The computing power market is expanding rapidly, and the construction of intelligent computing power is accelerating.
Currently, multimodal inputs and outputs primarily include text and images, with applications in smart office environments and various AIGC functionalities. Within the next 1-5 years, as multimodal GPT development enhances AI generalization capabilities, demand for computing power in general vision, general robotic arms, and industry-specific service robots will rise.
True smart home technologies will become part of daily life. In 5-10 years, large models incorporating complex multimodal solutions are expected to achieve comprehensive interactive capabilities with the world, enabling broad applications across industries, including general-purpose robots. Additionally, growing applications and the increasing complexity of multimodal data processing are driving demand for computing power. If models are the 'traffic gateways' of the next era, then computing power is the driving force behind them. Amid accelerating competition among major tech companies in model development, the arms race for computing power is expected to intensify.
OpenAI announced on its official website that in October, it will offer a new text-to-image product, DALL·E 3, via API to ChatGPT Plus and enterprise users. This means ChatGPT, powered by DALL·E 3, will enable long-awaited multimodal output, allowing users to generate various types of images directly within ChatGPT using text.
Investment Research on the AI Computing Power Industry
The 'big era' brings 'big opportunities.' In today's digital economy, the digital world is not just a mirror of the physical world; with the integration of AI, the digital world can lead the development of the physical world. The advent of the digital and intelligent world imposes new and higher demands on computing power, which in turn drives the construction and development of next-generation data centers.
As AI large-model applications become increasingly widespread, demand for computing power is accelerating, and computing power companies are actively seeking opportunities to collaborate with AI developers. Tencent Cloud, Alibaba Cloud, and other providers have launched large-model computing power clusters, aggressively expanding into the AI computing power cloud service market.
In recent years, China's computing power infrastructure has achieved significant progress, with a tiered and optimized supply system initially established, and the comprehensive capabilities of computing power infrastructure notably enhanced. Currently, China's computing power is evolving toward intelligent agility, green and low-carbon solutions, and security and reliability.
AI is advancing toward high-scenario, large-scale, and highly integrated stages, with data volumes growing rapidly, algorithm models becoming more complex, and applications expanding continuously. This places higher demands on the development of intelligent computing power. Globally, many countries are actively developing and deploying intelligent computing resources to secure advantages for future development.
The '2022–2023 Global Computing Power Index Evaluation Report,' jointly compiled by IDC, Inspur Information, and Tsinghua University's Global Industry Research Institute, was released in Beijing. The evaluation results show that in 2022, China's overall server market grew by 6.9%, accounting for 25% of the global market, with computing power ranking second globally.
As large-model applications reach end-users, computing power on personal devices will become a new demand. Microsoft's AI assistant, Copilot, is set to be embedded in core applications like Office starting September 26. Domestic enterprises are on the verge of commercializing large-model applications. Baidu recently announced that it will unveil its large models and AI-native applications at the Baidu World Conference on October 17.
As AI large-model applications become increasingly widespread, demand for computing power is accelerating, and computing power companies are actively seeking opportunities to collaborate with AI developers. Tencent Cloud, Alibaba Cloud, and other providers have launched large-model computing power clusters, aggressively expanding into the AI computing power cloud service market.
Intel recently announced that it will release AI PCs (artificial intelligence computers) equipped with Intel Core Ultra processors on December 14, along with the fifth-generation Xeon processors, which will offer three times the AI performance of the fourth generation. Intel stated that it expects to release tens of millions of AI-enabled PC products to the market in 2024.
According to Intel CEO Pat Gelsinger, Intel's new chip products can support generative AI chatbots running on laptops. Microsoft's Copilot AI assistant will be able to operate on Intel processor-based personal computers. Additionally, Lenovo Group previously stated that the company will release its latest AI-powered laptops based on Intel processors this autumn.
In the fiercely competitive market, the ability of enterprises and investors to make timely and effective market decisions is crucial for success. The intelligent computing industry report provides a detailed analysis of the current development status, competitive landscape, and market supply-demand dynamics in China's industry. It also examines the opportunities and challenges facing the industry from the perspectives of policy environment, economic conditions, social factors, and technological advancements. The report further highlights the operational status and development patterns of key enterprises and offers professional forecasts for industry trends in the coming years.