Most of the famous libraries like dlib support cuDNN library.Įnough with the theory, These are the steps to install CUDA on Ubuntu This library can greatly reduce build time of AI and machine learning programs. NVIDIA cuDNN is a GPU-accelerated library of primitives for deep neural networks. If you have a need to create a CPU intensive program (like games, video/audio processing etc) and want to use NVIDIA’s graphics card if available, then this library is for you. This is the step by step tutorial of how to install CUDA toolkit with cuDNN on Ubuntu Linux machine, but before we move to installation, you might want to know:Īccording to NVIDIA’s official site, the NVIDIA CUDA Toolkit provides a development environment for creating high performance GPU-accelerated applications. Installations of CUDA toolkit along with cuDNN can become very tiring because of all the dependencies involved. For this, NVIDIA provides a development environment known as CUDA. I recently purchased Zotac GeForce GTX 1050 Ti OC Edition and wanted to use graphics card for machine learning purposes. Last updated on June 28th, 2021 at 11:05 pm
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