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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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@The2ndDim · Post #914 · 03/27/2019, 07:04 PM
#CAUTION 如果最近有要退换货或者售后维修的话，建议在装箱之前，拍摄一段视频，说明故障原因，为何送修，设备当前的状况，以及拍下来能证明当时的日期时间的东西。最好视频本身直接一镜到底录下来一直快递员最终带走包裹的画面。 最近似乎有一些售后维修会故意损坏送修的设备然后拒绝提供维修/保修服务。 如果你遭遇了这个情况，录制的这个视频将可能为你的维权提供一些帮助。
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@venturevillagewall · Post #4229 · 02/24/2025, 10:00 AM
Crypto Outflows Reach $508M Amid Caution Digital asset investment products experienced significant outflows of $508 million as investors react cautiously to uncertainties following the US Presidential inauguration. Influencing factors include market volatility surrounding trade tariffs, inflation, and monetary policy adjustments. Read more: Unfolded #Crypto#Investment#USPolitics#MarketVolatility#Inflation#MonetaryPolicy#DigitalAssets#DeFi#Ethereum#Trading#Finance#Economics#Outflows#Blockchain#Investors#Caution#RiskManagement#CryptoNews#MarketTrends#AssetManagement