2023 is the year of large models, and many domestic AI and internet companies are intensifying their efforts to invest in "model training." The rapid development of the AI industry is considered by industry insiders to be the start of a new technological revolution after the steam engine and computer. However, AI large models are a capital-intensive, talent-intensive, and data-intensive industry. The key to promoting the landing of AI large models and reducing the training costs of AI models is how to form a "data, model, application" flywheel and make it accessible to ordinary people.

In the era of large models, what are the current hot topics in technical innovation applications in the AI field? How to enhance AI computing power? As the foundation of IT, what performance optimizations does the open-source operating system OpenCloudOS have based on AI scenarios, and what opportunities and support does the operating system provide for AI enterprises within its ecosystem? To answer and discuss these questions, on November 24th, the Shenzhen Artificial Intelligence Industry Association, together with the OpenCloudOS community and several AI and operating system technical experts, hosted the "Operating System and AI Technology Application Practice Salon · OC City Tour · Shenzhen" event. Based on AI technology innovation and practical case sharing, the event aimed to explore the future of artificial intelligence and operating system technology and innovation.

Gooxi, as a leading server solution provider in China, was invited to participate in the event and delivered a keynote speech titled "Technical Practice and Application of Self-developed Servers and AI Scheduling Platform." As Gooxi's Chief Technology Officer Huang Xiang mentioned, there are currently various problems and challenges in AI learning solutions for non-industry users. Faced with the complex AI programs in the market, how can these programs be made accessible to enterprises and lower the application threshold?

In the practice of digital transformation, many enterprises have collected and organized a large amount of data related to work, production, and operations. However, if this data is not mined and utilized, it's like having great strength but nowhere to use it. In the era of large models, based on enterprise private model services, the goal is to connect these joints, use artificial intelligence technology as the backbone, use data as the blood, and achieve the goal of enterprise digitization, constructing private models suitable for enterprise applications to unleash the true value of this data. Gooxi AI Bai Ze Smart Computing Solution is a one-stop private AI deployment solution developed by Gooxi, making large model deployment easier and more convenient for non-industry users. Gooxi Bai Ze Smart Computing Solution, based on the integration of self-developed servers and a self-developed AI scheduling platform, seamlessly connects the entire process of training platform setup, model training, computation scheduling, application release, etc., adapting to mainstream machine learning frameworks, algorithm models, dataset tools, and providing full-scenario coverage. During the event, Gooxi shared the full-process functionality of the self-developed AI platform, the model training and release module, the self-developed high-performance computation base, and related application scenario solutions. In addition, in terms of basic computation power, Gooxi, based on over a decade of innovative practice and technical accumulation in the server industry, has built a product architecture for the entire AI industry, effectively assisting in large model training and development.

Gooxi will continue to adhere to the philosophy of "To provide the most valuable server solutions striving for innovation in the interest of our customers." Through continuous technological exploration and innovation, Gooxi aims to provide customers with leading products, solutions, and services. In the future, Gooxi will continue to accelerate its exploration, research, and innovation in the AI industry, helping thousands of industries digitally transform and accelerating the landing and development of the AI industry.