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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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AI match predictions

@ai_match_prediction · Post #12036 · 05/10/2026, 05:05 PM

Mexico Liga MX🇲🇽 2026-05-10 23:00 UTC CF Pachuca vs. Toluca Predicted outcome: CF Pachuca✅ Predicted score: 2:1 Actual: CF Pachuca 2:0 #CFPachuca#Toluca 2026-05-11 01:15 UTC U.N.A.M. - Pumas vs. Club America Predicted outcome: U.N.A.M. - Pumas❌ Predicted score: 2:1 Actual: Draw 3:3 #UNAMPumas#ClubAmerica #Football#MexicoLigaMX

AI match predictions

@ai_match_prediction · Post #11902 · 05/03/2026, 05:05 PM

Mexico Liga MX🇲🇽 2026-05-03 23:00 UTC Club America vs. U.N.A.M. - Pumas Predicted outcome: U.N.A.M. - Pumas❌ Predicted score: 1:2 Actual: Draw 3:3 #ClubAmerica#UNAMPumas 2026-05-04 01:15 UTC Toluca vs. CF Pachuca Predicted outcome: Draw❌ Predicted score: 1:1 Actual: CF Pachuca 0:1 #Toluca#CFPachuca #Football#MexicoLigaMX