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Source channel @githubtrending · Post #14834 · Jun 17

#cuda DeepEP is a special communication library for Mixture-of-Experts (MoE) models. It helps these models work faster and more efficiently by improving how data is shared between different parts of the system. DeepEP supports low-precision operations and can handle data transfer between different types of connections, like NVLink and RDMA. This makes it very useful for both training and using AI models, especially when speed is important. Users benefit from faster processing times and better performance overall. https://github.com/deepseek-ai/DeepEP

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@V1_BLOG · Post #1427 · 09/01/2019, 11:30 AM

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@V1_BLOG · Post #2087 · 04/29/2020, 01:46 PM

测速机场: N3RO 测速宽带: 广东电信200M 测速时间: 4.29 官网: http://bit.ly/32YVRT5 价格表: https://t.me/V1blog_g/27685 清晰测速图 图一(早上): https://t.me/speedtest_V1/173 图二(晚高峰): https://t.me/speedtest_V1/174 测速By-V1测速组 #n3ro#对比 频道群组投稿

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