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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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ART IN SPORT

@BarykinaLiubov · Post #1993 · 08/06/2025, 07:41 AM

Интервью о международном Проекте „Art in Sports“ Любови Барыкиной 14 стран Мира 22 Региона РФ 13 художественных музеев Юлия Лой- Шеф-редактор журнала Мелон Рич (Melon Rich), Певица, автор-исполнитель, Ведущая #Interview #magazine #MelonRich #MELONRICHTV #Moscow🇷🇺 #JuliaLoi #LiubovBarykina #ArtInSport