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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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@abmedia_news · Post #24427 · 05/07/2026, 07:45 AM
【🤖 AI人工智慧｜輝達、聯發科雙強聯手打造 AI 原生助理未來車】 #MediaTek#NVIDIADRIVE#LLM NVIDIA 與聯發科建構中央電腦架構，整合 Dimensity AX 座艙晶片與 DRIVE AGX。 邊緣端運行 7B 以上大型模型 — 達成低於 500 毫秒反應並保障隱私。此數據反饋循環讓助理具備隨時間自我優化的能力。 📍閱讀全文： https://abmedia.io/how-to-build-in-vehicle-ai-agents-with-nvidia-and-mediatek 📍 訂閱鏈新聞頻道：https://linktr.ee/abmedia.io
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