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字节 Says Video-Generation Models Use About 10% of Its Compute Capacity

A separate tally of domestic AI token use assigned 55% to short dramas and video generation, 24% to e-commerce advertising and 15% to research and development.

A blank film strip emerges from one matte compute block / TokenPost.ai
A blank film strip emerges from one matte compute block / TokenPost.ai

豆包 public relations chief 刘星 posted Monday that training and inference for video-generation models account for about 10% of 字节’s total computing capacity.

That company-level percentage is separate from the 55% domestic AI token-use estimate. One measures computing capacity; the other tracks token consumption. Neither indicates what share of China’s total computing resources goes to video generation.

One tally of domestic AI token use assigned 55% to short dramas and video generation, 24% to e-commerce advertising, and 15% to research and development. In that tally, AI short dramas and video generation consumed more than twice the tokens used for software development.

Simon Yoon

Reporter

Simon Yoon reports on blockchain technology for TokenPost. Send corrections or tips to info@tokenpost.com.

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