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Moonshot AI's Huang Zhenxin: Alleviating Resource Pressure Through Model Efficiency Optimization

月之暗面黄震昕:正通过模型效能优化等方式缓解资源压力

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Huang Zhenxin, head of Moonshot AI's B-end business, stated that user demand for the K3 model far exceeds expectations, causing platform-wide resource strain and restricted new user registrations. The team is optimizing model efficiency and supplementing computing power to gradually ease resource pressure.
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原标题:月之暗面黄震昕:用户需求远超预期 正通过模型效能优化、算力补充缓解资源压力<br> 《科创板日报》21日讯,今日,月之暗面(Moonshot AI)B端企业业务负责人黄震昕对《科创板日报》记者透露, K3上线后用户需求远超此前的预期,出现全平台资源紧张、新用户注册受限的情况,团队已做足前期准备仍未匹配需求。团队明确优先保障付费老用户的使用体验,暂不全面放开新用户注册,不通过牺牲老用户体验换取短期用户规模增长。当前正通过模型效能优化、算力补充的方式逐步缓解资源压力,具体恢复时间将根据资源储备情况另行通知。 (科创板日报记者 李明明)<br> “特别声明:以上作品内容(包括在内的视频、图片或音频)为凤凰网旗下自媒体平台“大风号”用户上传并发布,本平台仅提供信息存储空间服务。<br> Notice: The content above (including the videos, pictures and audios if any) is uploaded and posted by the user of Dafeng Hao, which is a social media platform and merely provides information storage space services.”