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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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Venture Village Wall 🦄

@venturevillagewall · Post #4340 · 03/08/2025, 01:00 PM

Multiple Startups Secure Funding in March In March 2025, several startups raised significant funding: - Raywatt: $5.87M - welevel: $5.70M - Conveo: $5.30M, offering AI-led research automation. - Intangible: $4M, focusing on 3D creative tools. - PhaseTree: $3.24M, specializing in materials design simulation. - FutureVault: $3M, enhancing digital vault technology. - Insurevision.ai: $2.70M for InsureVision solutions. - GovEagle: $2.50M for AI compliance tools. - FortyTwo: $2.30M, creating a decentralized AI network. - Jingyi Jingce: $1.38M for Fiber Optic Pipe monitoring. #Funding#Startup#AI#Tech#Research#3D#Simulation#DigitalVault#Compliance#Decentralized#GenerativeAI#FiberOptics#Innovation#Investments#Capital#VentureCapital#Entrepreneur