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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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ChatGPT AI Technology News

@chatgpt_officialnews · Post #184 · 07/08/2025, 03:53 PM

🧠AI Robot Chef Learns 200+ Recipes by Watching YouTube At the University of Cambridge, researchers trained a robot chef to learn over 200 cooking recipes—just by watching YouTube videos! 📸 ❓Here’s how it works: 👀 The robot watches cooking videos 🧠 Uses AI to identify ingredients, tools, and steps 🧑‍🍳 Replicates the recipes on its own in a real kitchen! Even better? It rated the dishes and improved its skills over time—just like a real chef! 👨‍🍳📈 🎯Why it matters: AI is evolving from text and speech to physical interaction—blending computer vision, robotics, and deep learning to understand and act in the real world. NeuralHubAI might not cook your dinner (yet)… but we’re already helping you build, think, and create faster every day. What will you teach AI next? ✨ ➖➖➖➖🔻 🧠 BOT: @Chatgpt_OfficialBOT 💎@Chatgpt_OfficialNews #️⃣#AIrobot#NeuralHubAI#FutureTech#CookingWithAI ➖➖➖➖🔺