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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 #65002 · 04/10/2026, 01:33 PM

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🚀 Arc Launches App Kits SDK with Cross-Chain Features Arc has introduced its App Kits SDK, offering functionalities such as cross-chain bridging, token exchange, and on-chain transfers, all of which can be integrated with less than 10 lines of code. According to Foresight News, the App Kits are built on USDC, CCTP, and Circle Wallets, and are compatible with third-party wallets and developers' own RPC nodes. The SDK includes a built-in revenue-sharing mechanism, allowing developers to configure profit-sharing directly within the transaction process without needing to deploy separate contracts. App Kits are now available for free and support permissionless access. #Arc#AppKits#SDK#CrossChain#Blockchain#USDC#CCTP#CircleWallet#Crypto#DeFi#Developers#Web3

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