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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 #11846 · 05/02/2026, 05:05 AM

Netherlands Eredivisie🇳🇱 2026-05-02 12:00 UTC Almere City FC vs. Den Bosch Predicted outcome: Den Bosch❌ Predicted score: 1:2 Actual: Almere City FC 3:0 #AlmereCity#DenBosch 2026-05-02 14:30 UTC Utrecht vs. NAC Breda Predicted outcome: Utrecht✅ Predicted score: 2:1 Actual: Utrecht 2:0 #Utrecht#Breda 2026-05-02 16:45 UTC Groningen vs. Excelsior Predicted outcome: Groningen❌ Predicted score: 2:1 Actual: Excelsior 2:3 #Groningen#Excelsior 2026-05-02 18:00 UTC Ajax vs. PSV Eindhoven Predicted outcome: Ajax❌ Predicted score: 3:2 Actual: Draw 2:2 #Ajax#PSVEindhoven 2026-05-02 19:00 UTC NEC Nijmegen vs. Telstar Predicted outcome: NEC Nijmegen❌ Predicted score: 2:1 Actual: Draw 1:1 #NECNijmegen#Telstar #Football#Eredivisie