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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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📊 Los primeros 33 juegos de Christian Walker en 2025: .202/.272/.347 4 HR 10 RBI 40 K | 9 BB .619 OPS 74 wRC+ -0.2 fWAR 📊 Los primeros 33 juegos de Christian Walker en 2026: .309/.386/.577 8 HR 26 RBI 24 K | 14 BB .963 OPS 163 wRC+ 1.4 fWAR Un comienzo MUCHO MEJOR para el segundo año de Walker en Houston 💪 #Walker#Stats#Astros 🗞 | t.me/MLB_Daily

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@libertaeragione · Post #3982 · 10/06/2023, 12:56 AM

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