Alibaba Cloud's Zhang Chi: AI Inference Computing Power to Surpass Training Needs, Financial Applications Require "Dual Flywheel" Synergy System

Deep News01-04

At the China Wealth Management 50 Forum 2025 Annual Conference held recently in Beijing, which carried the theme "Towards the '16th Five-Year Plan': Building a Financial Powerhouse," Zhang Chi, Vice President of Alibaba Cloud Intelligence Group and General Manager of the New Finance Industry, articulated the company's strategic focus on an "All-Stack AI Cloud" and "Globalization." He emphasized the construction of a comprehensive system spanning from underlying chips and infrastructure to model applications.

He expressed the view that while China and the United States are currently competing neck-and-neck in overall model capabilities, each with its own strengths and weaknesses, China has already demonstrated a clear leading advantage in specific vertical domains such as autonomous driving and embodied AI. Regarding computing power, he forecasted that future demand for inference computing power will surpass that for training, indicating a "reversal" trend.

In terms of business models, cloud and AI form a mutually reinforcing "flywheel" relationship. The implementation of financial Agentic AI is not merely about token volume or attaching external agent logic. Moving forward, financial institutions will need to establish a dual-flywheel system where the "large flywheel drives intent understanding and the small flywheel ensures execution." This system aims to achieve a leap from AI assistance to deep collaboration, truly integrating AI into professional workflows. Matching the technological paradigm shift brought by the "dual flywheel" architecture, the large-scale deployment in "production-grade scenarios" requires a complete, integrated solution system for support.

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