@lsposed_Modules_Updates_Trackers · Post #6824 · 04/28/2026, 02:01 AM
#NoActive#Xin 模块:cn.myflv.noactive 简介:NoActive 版本:260-2.6 更新时间:2022/10/15 13:34:33 更新日志: 1.优化功耗 2.修复唤醒锁 @lsposed_Modules_Updates_Trackers | @lsposed_Geeks_Bot
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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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@lsposed_Modules_Updates_Trackers · Post #6824 · 04/28/2026, 02:01 AM
#NoActive#Xin 模块:cn.myflv.noactive 简介:NoActive 版本:260-2.6 更新时间:2022/10/15 13:34:33 更新日志: 1.优化功耗 2.修复唤醒锁 @lsposed_Modules_Updates_Trackers | @lsposed_Geeks_Bot