How Servers Ensure Data Security Becomes a Focus - In-depth Market Research and Analysis of the 2024 AIGC Industry
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Content creation dominated by AIGC (Generative Artificial Intelligence) is influencing people's daily lives and even the development of numerous industries. According to third-party statistics, the future AIGC market size will continue to grow rapidly, exceeding trillions by 2030.
The development of AIGC relies on the support of robust computing infrastructure. Recently, Beijing Guoke Huanyu, a national-level "specialized and sophisticated" small giant enterprise, launched the Saturn Cloud SR710A computing server in Beijing.
To ensure the accuracy of data and the reference value of content in the AIGC industry, our research team has conducted data collection through multiple channels, including annual reports of listed companies, manufacturer surveys, distributor discussions, and expert validation. We have also performed multi-dimensional analysis of the data to deeply explore various aspects of the industry. This enables industry practitioners to comprehensively understand the development trends and cutting-edge innovations in the AIGC sector from multiple perspectives, thereby empowering them to lead in the transformation race.
Deep learning models continue to evolve, and AIGC has achieved breakthrough progress. Particularly in 2022, algorithms experienced explosive growth, and breakthroughs in underlying technologies have made the commercial application of AIGC possible. This progress is mainly concentrated in the field of AI painting: in June 2014, Generative Adversarial Networks (GAN) were proposed. In February 2021, OpenAI introduced the CLIP multimodal pre-training model. In 2022, the Diffusion Model gradually replaced GAN.
Amid the ChatGPT boom, various industries are actively exploring the potential of integrating AIGC (Artificial Intelligence Generated Content) technology. The financial sector, in particular, is continuously investigating the application of AIGC to meet personalized customer demands and drive innovation in financial services.
The AI industry chain is primarily structured into three layers: foundational, technical, and application. The foundational layer focuses on building support platforms, including sensors, AI chips, data services, and computing platforms. The technical layer emphasizes core technology development, covering algorithm models, foundational frameworks, and general technologies. The application layer concentrates on industrial applications, encompassing industry-specific solutions, hardware, and software products. Research indicates that China's AIGC industry chain consists of five key components: foundational large models, industry/scenario-specific medium models, business/domain-specific small models, AI infrastructure, and AIGC support services, forming a comprehensive industrial ecosystem.
Before 2021, AIGC primarily generated text. However, the latest models can now process diverse formats, including text, speech, code, images, videos, and robotic actions. Post-2022, AIGC has experienced rapid growth, driven by advancements in deep learning models, the push for open-source models, and the exploration of commercialization possibilities for large models, collectively accelerating AIGC development. With supportive national policies and advancements in foundational technologies like 5G, China's AI industry has entered a phase of explosive growth, showcasing immense market potential. Data shows that China's core AI industry reached 150 billion yuan in 2020 and is projected to grow to 400 billion yuan by 2025.
AIGC saw a surge in late 2022, with AI models' intelligence levels rising due to the synergy of data, algorithms, and computing power, gradually awakening AI's "creative intelligence." As AI technology continues to evolve and break new ground, generative AI is rapidly penetrating fields like text, images, and audio-video content. Currently, "deep synthesis + computation-driven" virtual humans, which utilize text, image, and audio generation technologies to create fully anthropomorphic digital content—including appearance, facial expressions, and vocal habits—fall under the AIGC domain. This multimodal generation technology is widely applied in areas such as virtual idols and virtual hosts.
According to reports, the SR710A is a high-performance computing device built on NVIDIA GPU modules and AMD X86 processors, featuring natural cooling, large memory, high energy efficiency, and low PUE. It can be widely applied to the inference and training of large models, meeting the needs of universities, research institutions, and small and medium-sized enterprises (SMEs) for small to medium-sized computing centers. A single server can support up to 1000GB of memory, enabling large-batch inference and handling the inference and training of large models with hundreds of billions of parameters, such as GPT-175B.
In the era of big data, ensuring the security of sensitive data is particularly important.
"Private deployment is a significant feature of this computing server," said Zhang Shancong, Chairman of Beijing Guoke Huanyu. The Saturn Cloud SR710A computing server, through local private deployment, can better control and protect data security. Sensitive data does not need to be transmitted over the internet, reducing the risk of data leaks and security vulnerabilities. It allows autonomous management and monitoring of data access permissions, ensuring that data is accessed and used only within authorized scopes.
Since the second half of 2023, sectors related to AIGC have seen growth. On the news front, Microsoft has "increased its stake," while tech giants like Google and Amazon have "placed their bets." Game companies have also successively announced new AI initiatives, leading some to worry about "AI replacing humans." In February 2023, Meta CEO Mark Zuckerberg announced that Meta would establish a top-tier product team focused on AIGC. Google's streaming platform YouTube announced it was developing AIGC content creation tools. Prior to this, overseas giants like OpenAI, Microsoft, Google, and Buzzfeed had already laid out related service products. Domestically, many companies responded swiftly. After the explosion of AI-generated art in 2022, leading enterprises such as BAT, ByteDance, Wondershare, and BlueFocus have all intensified their efforts in the AIGC sector.
Future Development Trends and Opportunities in the AIGC Industry
In the AIGC field, ChatGPT currently represents the highest standard, but China is also at the forefront of global AIGC development. China's AI industry is rapidly expanding. According to IDC data, the market size for AI software and applications in China was $5.1 billion in 2021 and is expected to reach $21.1 billion by 2026.
AIGC has rich applications in intelligent compliance. For example, after new regulations are released, AIGC can automatically generate interpretations and integrate them with existing internal rules to create updated policies. Additionally, AIGC can be used for compliance Q&A, where business personnel describe scenarios to the AI model, which then identifies violations and proposes solutions. Innovations driven by AI and other technologies are gradually permeating financial products, business models, and workflows, creating new opportunities.
The next decade will be the decade of AIGC's explosive growth, filled with opportunities. How to seize this once-in-a-lifetime chance is a question everyone should consider.
Every industry follows its own developmental patterns. To discover new opportunities, one must understand the industry's trajectory, recognize the current stage of development, and identify their position within it. Only then can they foresee future directions and set clear goals for their efforts.
All of this begins with quickly gaining a deep understanding of the industry.