The question is, why would you do that in the first place? NVIDIA has created this project to support newer hardware and improved libraries to NVIDIA GPU users who are using TensorFlow 1.x. [114] The proprietary nature of Nvidia's drivers has generated dissatisfaction within free-software communities . Only supported platforms will be shown. Click on the green buttons that describe your target platform. Let’s see how to use Nvidia proprietary drivers on Ubuntu. A 19 March 2014 comparison of Ubuntu with the Free and open-source graphics device driver distributed as part of Mesa 3D, which outperforms Mac OS X 10.9.2 when playing OpenGL-based Xonotic on a 2013 MacBook Air. [115] With release of TensorFlow 2.0, Google announced that new major releases will not be provided on the TF 1.x branch after the release of TF 1.15 on October 14 2019. Install Nvidia Proprietary Drivers in Ubuntu. This is because the free and open source ‘nouveau’ driver may not properly support the graphics card’s functionality. Nvidia also provided but stopped supporting an obfuscated open-source driver that only supports two-dimensional hardware acceleration and ships with the X.Org distribution. A January 2017 comparison indicated a difference in power between the Mesa Nouveau and NVidia driver and Kepler and Maxwell.

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