If you are a gamer who prioritizes day of launch support for the latest games, patches, and DLCs, choose Game Ready Drivers. Whether you are playing the hottest new games or working with the latest creative applications, Nvidia drivers are custom tailored to provide the best possible experience. CUDA-X AI supports popular frameworks like TensorFlow and PyTorch and helps accelerate deployment with tools and APIs like ONYX and WinML.To achieve the highest level of reliability, Studio Drivers undergo extensive testing against multi-app creator workflows and multiple revisions of the top creative applications from Adobe to Autodesk and beyond. ![]() It also includes higher level SDKs such as NGX SDK which makes it easy to integrate AI features into creative applications with pre-trained networks. ![]() For example libraries like cuDNN and DALI help developers reduce training times while TensorRT optimizes networks and takes advantage of Tensor Cores for the fastest inference on GPUs. These libraries accelerate the entire AI pipeline from data processing to training and inference to deployment. CUDA parallel programming model for general computing on GPUs.ĬUDA-X AI is a collection of optimized libraries built on CUDA.Capture SDK capture and compress the desktop buffer for transmission or storage. ![]()
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