[SMM Computing Power Flash] WorkBuddy MAU Exceeds 20 Million, Inference Computing Demand Faces Pressure from User Growth, Queue Rate Over 50% Triggers Emergency Expansion

Published: Jul 9, 2026 14:07

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SMM learned that on July 8, Tencent WorkBuddy’s inference computing resource consumption peaked due to the launch of the Hy3 large model, with the afternoon queuing rate once exceeding 50%, and the team completed emergency capacity expansion that day. This computing resource crunch directly stemmed from the exponential growth in user scale — WorkBuddy’s monthly active users had reached 20 million and daily active users had exceeded 13 million. Unlike the “one-time heavy computation consumption” on the training side, inference computing consumption is linearly linked to the number of users: each interaction by every user generates continuous token consumption, and the daily office scenarios (document processing, code generation, agent tasks) of 13 million users create high-frequency, massive inference computing demands. Data from the OpenRouter platform shows that in May 2026, Chinese models accounted for six of the top ten spots in token calls, and domestic model inference traffic is rapidly catching up with mainstream North American models.

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