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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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Architectural Shovel / Любовь Дмитриева

@arch_shovel · Post #878 · 02/05/2023, 10:15 AM

Espacio de Reflexión Tecnológico de Monterrey architecture: Kalach Tax photographer: Yoshi Koitani location: Monterrey, Mexico The different openings in the #concrete volumetry create poetic #shadows that dance as the sunlight changes. This design decision breaks the rigidity of the material, due to the contrast between solid and immaterial. What are your thoughts on this unique project? #archdaily#arch_shovel#architecture