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Source channel @githubtrending · Post #15428 · Jan 22

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#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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@qun521 · Post #1097 · 02/24/2026, 06:29 AM

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#v2RayNG V2rayNg 安卓客户端新版本更新 (预发布) https://github.com/2dust/v2rayNG/releases https://github.com/2dust/v2rayNG/releases/tag/2.0.11

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@qun521 · Post #1091 · 12/09/2025, 05:01 AM

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#v2RayNG V2RayNG安卓客户端新版本更新 (预发布版) https://github.com/2dust/v2rayNG/releases https://github.com/2dust/v2rayNG/releases/tag/1.10.31

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@qun521 · Post #1084 · 12/03/2025, 09:16 AM

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#V2RayNG 新版 V2RayNG 1.10.29 已作为 预发布 (Pre-release) 发布，现在可以下载。 你可以通过以下链接查看更改并获取文件： 🔗github.com/2dust/v2rayNG/releases/tag/1.10.29

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@qun521 · Post #1061 · 11/07/2025, 11:09 AM

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#V2rayNg V2rayNg 安卓客户端新版本更新 (预发布) https://github.com/2dust/v2rayNG/releases https://github.com/2dust/v2rayNG/releases/tag/1.10.27

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@qun521 · Post #1041 · 10/26/2025, 03:02 PM

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#V2RayNG ❤️V2Ray NG 1.10.26 安卓版 (预发布) V2rayNg 安卓客户端新版本更新 (预发布) https://github.com/2dust/v2rayNG/releases https://github.com/2dust/v2rayNG/releases/tag/1.10.26

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@qun521 · Post #1037 · 10/26/2025, 10:21 AM

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#V2RayNG 🚀 V2RayNG 1.10.25（预发布） 新的 V2RayNG 安卓客户端预发布版本已发布 ✅ 现在可通过以下链接获取： github.com/2dust/v2rayNG/releases/tag/1.10.25

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