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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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Baxtiyor Pulatov

@eco_pulatov · Post #1975 · 11/27/2025, 10:55 AM

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🇺🇿📘 O‘zbekistonning “Atrof-muhit o‘zgarishlari atlasi” nashr etildi! BMTning Atrof-muhit bo‘yicha dasturi — UNEP tomonidan O‘zbekiston bo‘yicha eng yirik ekologik atlas tayyorlandi. U 60 yillik tarixiy va sun’iy yo‘ldosh ma’lumotlariga asoslanib, yer va suv ekotizimlari, ekologik muammolar, SDG 6 va 15 maqsadlariga erishish holatini tahlil qiladi. 📥O‘zbekiston atlasini yuklab olish 📌 Mazkur loyiha doirasida Qirg‘iziston va Tojikiston uchun ham atlaslar yaratilgan: 🇰🇬Qirg‘iziston atlasi 🇹🇯Tojikiston atlasi 🌱 Bu atlaslar ekologik barqarorlik, tadqiqotlar va davlat darajasidagi qarorlar uchun eng muhim geoma’lumot bazasi hisoblanadi. #UNEP#EcologyAtlas#GIS#UZB#SDG#RemoteSensing

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