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Source channel @githubtrending · Post #14985 · Jul 22

#c_lang#cuda#cuda_driver_api#cuda_kernels#cuda_opengl You can use the CUDA Samples from NVIDIA to learn and test CUDA Toolkit 12.9 features by downloading them from GitHub or as a ZIP file. These samples show how to use CUDA for GPU programming, including utilities, concepts, libraries, and performance optimization. You build them with CMake on Linux, Windows, or Tegra devices, and can run tests automatically with a provided Python script. This helps you understand CUDA programming, debug GPU code, and optimize your applications for better performance on NVIDIA GPUs. It’s a practical way to develop and improve GPU-accelerated software efficiently. https://github.com/NVIDIA/cuda-samples

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@affyes · Post #88 · 12/21/2024, 05:25 AM

⚪️ 互联网速报 | Vercel 扩充新的 IP 段 Vercel 的 cname.vercel-dns.com 开始混入来自 66.33.60.0/24 的解析,目前每次解析均返回一组 76.76.21.x 和 66.33.60.x 的 A 解析。 经 WHOIS 查询,此 C 段的 ARIN 注册网络名为 VERCEL-02,分配于 2024-03-21,大约于最近几日 (2024-12-21)左右开始使用,截至发稿时 Vercel 官网文档还未作更新。 背景知识:此前 Vercel 一直只有 76.76.21.0/24 一个 C 段,不过可惜由于受到 AWS AGA 上游限制,目前 Vercel 仍然不支持 IPv6。 #Vercel#CDN#ARIN ✅ 本条消息由 AFF Channel (@affyes) 撰写,不含任何 AI 成分,请放心食用,转发请保留尾部声明,感谢支持。 ✅ 频道 https://t.me/affyes ✅ 群组 https://t.me/affyes_chat