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Source channel @githubtrending · Post #15077 · Aug 20

#c_lang#infiniband#iwarp#kernel_rdma_drivers#linux_kernel#rdma#roce#userspace_libraries You can use RDMA Core, a set of Linux userspace libraries and daemons, to work with RDMA devices for high-speed network communication. It supports many kernel drivers and provides tools and libraries like libibverbs and librdmacm to manage RDMA devices and connections. You can build it easily with cmake and install required packages depending on your Linux distribution. Using RDMA Core lets you set up software RDMA interfaces and verify them with commands like `ibv_devices` or `rdma link`. This helps you achieve faster, low-latency data transfer, which is useful for high-performance computing and networking tasks. https://github.com/linux-rdma/rdma-core

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@QIUYUEZT · Post #7030 · 11/11/2025, 03:31 PM

🔻标题:Dopasense_1.1 双机/单机 AI 通用FPS自瞄 🌈说明: 部分游戏可单机,支持V5 V8及V8以上yolo模型,模型自行寻找 更新日志: 1、支持类net盒子移动 2、优化推理FPS 3、修复卡死BUG 4、修复已知问题 支持makcu kmnet dhz等众多盒子 📃下载地址: 夸克盘 / 123盘 ✉️标签:#dopasense#ai#辅助

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@QIUYUEZT · Post #6865 · 10/23/2025, 04:32 PM

🔻标题:Dopasense_1.1双机/单机AI通用FPS自瞄辅助 🌈说明: Dopasense 双机AI免费版 1.1 支持 V5、V8 及更高版本 YOLO 模型,部分游戏可单机运行。更新内容包括:支持类 Net 盒子移动、优化推理 FPS、修复卡死及已知问题,兼容 makcu、kmnet、dhz 等多种盒子,模型需自备。 📃下载地址: 夸克盘 / 123盘 ✉️标签:#dopasense#ai#辅助#fps