Global Technology Leaders' Closed-Door Seminar: Cracking the Triple Challenges of AI Computing Power, Data Compliance, and Localization
Entering 2025, Chinese AI companies continue to show strong momentum in going global.
At the beginning of March, a16z, a globally renowned investment institution and consulting firm, released the "Top 100 Global Generative AI Applications in 2025" list. Many AI applications from Chinese companies made it onto the list and ranked high. Among the web - based applications, DeepSeek, which became popular globally at the beginning of the year, ranked second, only after ChatGPT, the pioneer of generative AI. Doubao and Kimi, both Chatbot - type products, also made the list, ranking 10th and 11th respectively. Chinese AI video - generation tools led the way by a large margin. Conch from MiniMax and Keling from Kuaishou ranked 12th and 20th respectively, far ahead of overseas counterparts such as Sora, Midjourney, and Runway.
It can be seen that the global AI competition is surging, and the Chinese AI fleet is forging ahead with a unique stance. However, there are no smooth paths in the vast ocean. Despite showing strong competitiveness in technology R & D and product performance, Chinese AI companies still face multiple challenges in their global layout. There are common problems that all overseas - going companies need to address, such as adapting to local needs and building overseas teams. Moreover, they must directly confront industry - specific difficulties in the AI field, including the dilemma between the cost and stability of computing power, data compliance, and the construction of infrastructure tailored to local conditions.
Computing power is undoubtedly one of the most core challenges for Chinese companies going global. King Cui, the President of GMI Cloud in the Asia - Pacific region, mentioned in a public speech that the stability of GPU clusters is directly related to the economic cost borne by the company. Therefore, some companies tend to choose the cheapest GPU bare - metal service providers when going global. "Although this can save 10% - 20% on the unit price of GPUs, insufficient stability may double the total R & D cost." Achieving a delicate balance between computing power cost and stability has thus become a compulsory course for AI companies going global.
Meanwhile, as the second half of the AI application competition shifts from model training to inference implementation, the key to victory lies in efficiency innovation: doubling the inference speed through model distillation and dynamic quantization; obtaining or owning a global node network resource so that inference capabilities are as accessible as water and electricity. Companies need to build double barriers in terms of "intelligent cost" and "scene penetration". The prerequisite for obtaining business growth must be having stable infrastructure and data compliance.
However, when we focus on data compliance, the problems faced by AI companies going global are even more complex and diverse, involving legal differences, technical challenges, and geopolitical risks in different countries and regions. These include strict supervision of cross - border data transfer, the complexity of protecting data subject rights, and technical challenges in data security and privacy protection. AI companies need to closely monitor global legislative trends and flexibly respond to the evolving compliance challenges.
In addition, building an efficient and reliable AI technology foundation is also a necessary prerequisite for AI companies to achieve global multi - location deployment. However, infrastructure faces different regulatory measures and local restrictions in different regions, which also pose obstacles to AI companies going global.
It can be seen that in the era of AI exploration where opportunities and challenges coexist, higher requirements are put forward for AI companies going global. As summarized in the "White Paper on Global Operations of Chinese Enterprises" jointly released by Frost & Sullivan and TiDB, Chinese enterprises are facing a new chapter in going global. The implementation of the overseas strategy needs to evolve from the initial "going out" to a deeper level of "integrating in".
Against this background, 36kr, in partnership with GMI Cloud and TiDB, will jointly host a closed - door seminar on April 18th in Shanghai with the theme of "New Situation of AI Going Global: From Reaching the World to Integrating into the World". This seminar will bring together three core forces: global AI technology leaders, overseas - going practice experts, and industrial ecosystem construction experts. It will focus on key technical aspects such as new paradigms of large - model technology, global compliance deployment solutions, service localization strategy formulation, and computing power infrastructure support systems, creating a command center for Chinese AI to conquer the deep - water area of going global and providing forward - looking insights for the coordinated development of the AI going - global ecosystem.
The agenda of this seminar will be carried out in the form of a full - day closed - door meeting. The seminar will kick off with in - depth sharing from industry veterans such as AI overseas - going pioneer leaders and cross - border compliance experts. By focusing on macro - industry trends and practical issues such as computing power infrastructure deployment and cross - border data governance, it will systematically sort out the strategic cognitive foundation and implementation roadmap for the global implementation of AI.
The highly concentrated AI product lightning roadshow and benchmark enterprise case presentation session aim at practical review. Through benchmark cases in fields such as robots, voice assistants, social applications, and games, it will reveal the secrets of the leap from 0 to 1 and from 1 to 100 in going global, enabling participants to obtain practical overseas - going solutions while inspiring innovation in technology and product development.
The seminar has also carefully prepared an expert - led workshop. Led by outstanding representatives in the field of data technology and university professors, all participants will conduct interactive exploration and analysis on topics such as practical experience in data processing and analysis and practical strategies for data management and cost control, and finally take away a practical toolset for optimizing the data management system for AI going global.
Only by facing the reefs in the deep sea can one show the true nature of a surfer! On April 18th, this "wisdom gathering" feast in Shanghai will equip you with a "digital compass" and an "opportunity route" for AI going global. The participants of this seminar will be strictly selected. The whole event will be "closed - door". 36Kr will issue targeted invitations to technology leaders of all AI overseas - going companies and open a free registration channel. If you are interested in this event, scan the QR code below to register immediately.
This will be the most high - profile seminar in 2025 in terms of the scale of guests. Participants can not only obtain the most cutting - edge technical ideas and solutions for AI applications going global but also discuss the future direction of AI going global with many influential figures in the industry.
Lock in your golden seat in the global AI ecosystem immediately, draw a nautical map with global AI pioneers, and let Chinese AI solutions truly take root in the world map. We look forward to your leadership in the era of AI exploration!
