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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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Ethio-Djibouti Railway S.C.

@ethiodjiboutirailway · Post #1360 · 01/25/2024, 05:06 AM

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Congratulations to the fourteen train driver trainees who have successfully completed their training! January 24, 2024(EDR); During their one year training period, the trainees have successfully finished their theoretical and practical training. That provided by the Ethiopian-Djibouti Railway Capacity Building program’s fourth round. Today, they took their Ministry of Transport and Logistics qualification exam, and now one step closer to obtaining their licenses and starting their careers as train drivers. We are incredibly proud of their hard work and commitment, and we wish them all the best in their future endeavors! #EthiopiaDjiboutiRailway#EthiopiajiboutiRailwayfamily#CapacityBuilding #TrainDriverTraining#Congratulations

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