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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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@moeshiro · Post #174 · 10/30/2025, 04:30 PM

试着接收了这次《三体》联动哈工大从阿斯图一号卫星上发送的 SSDV信号,只能说发送的图片真的好难看(),不过搭建解码环境的过程还是比较有趣的,也学会了 sdr 精准跟随卫星频率的操作。 #业余无线电#HAM#卫星#SSDV#ASRTU-1