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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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Crypto M - Crypto News

@CryptoM · Post #64653 · 04/09/2026, 12:36 PM

🚀 Pyth Launches Data Marketplace with Support from Major Financial Institutions Pyth has announced the official launch of its Pyth Data Marketplace, backed by six major financial institutions. According to Odaily, the participating entities include Euronext, Exchange Data International, Fidelity Investments, OTC Markets Group, SGX's FX data business, and Tradeweb. These institutions previously distributed data primarily through traditional data suppliers and proprietary terminals. The Pyth Data Marketplace enables institutions to distribute various proprietary data, such as macroeconomic indicators, OTC pricing, and foreign exchange benchmarks, while retaining ownership, pricing rights, and attribution. #Pyth#DataMarketplace#FinancialInstitutions#MacroeconomicIndicators#OTCpricing#FXbenchmarks#Euronext#FidelityInvestments#SGX#Tradeweb#PYTH