The cuDNN library team is excited to announce the second version of cuDNN, NVIDIA’s library of GPU-accelerated primitives for deep neural networks (DNNs). We are proud that the cuDNN library has seen broad adoption by the deep learning research community and is now integrated into major deep learning toolkits such as CAFFE, Theano and Torch. While cuDNN was conceived with developers of deep learni
The NVIDIA Tegra K1 SoC will remain available through January 2024. L4T sustaining releases for Tegra K1 will continue to be made as deemed necessary. (L4T 21.8 was the most recent release.) Note that the Jetson TK1 Developer Kit has reached EOL and is no longer available for purchase. NVIDIA JetPack 3.1 was the final JetPack to support Jetson TK1 Developer Kit. If you have any questions, please v
CUDA Toolkit The NVIDIA® CUDA® Toolkit provides a development environment for creating high-performance, GPU-accelerated applications. With it, you can develop, optimize, and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise data centers, cloud-based platforms, and supercomputers. The toolkit includes GPU-accelerated libraries, debugging and optimizatio
Download Quick Links [ Windows ] [ Linux ] [ MacOS ] Individual code samples from the SDK are also available. Release Highlights New and Improved CUDA Libraries CUBLAS performance improved 50% to 300% on Fermi architecture GPUs, for matrix multiplication of all datatypes and transpose variations CUFFT performance tuned for radix-3, -5, and -7 transform sizes on Fermi architecture GPUs, now 2x to 1
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