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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 #64581 · 04/09/2026, 09:14 AM

🚀 NanoVita Secures Series A Funding with $20 Million Valuation NanoVita, a decentralized science (DeSci) project, has announced the completion of its Series A funding round, achieving a post-investment valuation of $20 million. According to Foresight News, the specific amount raised in the funding round was not disclosed. The investment was backed by K24 Ventures, LandScape Capital, and WestLabs. NanoVita aims to integrate nanotechnology, AI bio-intelligence, and real-world health data to build an open on-chain health research infrastructure. The project seeks to enable widespread participation and benefit from the next generation of personalized health research and data sovereignty revolution. #NanoVita#SeriesAFunding#DeSci#DecentralizedScience#Nanotechnology#AI#BioIntelligence#HealthData#PersonalizedHealth#DataSovereignty#HealthResearch#BlockchainHealth