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Source channel @githubtrending · Post #15428 · Jan 22
#cplusplus FlashMLA is DeepSeek's optimized attention library that makes AI models run faster and use less memory. It works with advanced NVIDIA GPUs to speed up how language models process information, achieving up to 660 trillion floating-point operations per second. The library supports both dense and sparse attention modes, meaning it can focus on important tokens while skipping less relevant ones, reducing computational waste. For you, this means faster AI responses, lower costs for running large language models, and better performance on tasks like chatbots and code generation. The technology is open-source and integrates with popular AI frameworks like PyTorch and Hugging Face, making it accessible for developers building next-generation AI applications. https://github.com/deepseek-ai/FlashMLA
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@WarUAPravda · Post #1269 · 05/15/2026, 05:40 AM
🇷🇺 Подбитая/Уничтоженная бронетехника ВС РФ в селе Александровка Херсонская Область На фото : 2 Т-90А/М, 4 БМП-3, 3 Тигр-М 🇬🇧 Damaged/Destroyed armored vehicles of the Russian Armed Forces in the village of Oleksandrivka, Kherson Oblast. Pictured: 2 T-90A/M, 4 BMP-3, 3 Tigr-M #потеривсрф#всрф#херсонскаяобласть #srflosses#vsrf#khersonregion @WarUAPravda
@WarUAPravda · Post #987 · 04/20/2026, 04:46 PM
🇷🇺 Подбитая/Брошенная/Уничтоженная бронетехника ВС РФ под селом Русанов на киевском направлении На фото : 2 Захваченых БМП-2, 5 Подбитых/Уничтоженных БМП-2,3 Т-72Б3, 1 МТ-ЛБ 🇬🇧 Damaged/Abandoned/Destroyed Russian Armed Forces armored vehicles near the village of Rusanov on the Kyiv front. Pictured: 2 captured BMP-2s, 5 damaged/destroyed BMP-2s, 3 T-72B3s, 1 MT-LB #потеривсрф#киевскоенаправление#бронетехника#трофеи#всрф #srflosses#kyivdirection#armoredvehicles#trophies#vsrf @WarUAPravda