This is a guide on how to install TensorFlow GPU on Ubuntu 16.04. TensorFlow is a powerful open-source software library for data analysis and machine learning.
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TensorFlow is a popular open-source platform for machine learning. It allows developers to create complex machine learning models and algorithms, and has been used in a variety of different fields, such as natural language processing, image recognition, and predictive analytics.
TensorFlow can be installed on a number of different platforms, but in this article we will be focusing on how to install it on Ubuntu 16.04. We will also be installing the GPU version of TensorFlow, as this will allow us to take advantage of the increased processing power that GPUs offer.
What is TensorFlow?
TensorFlow is a powerful tool for Machine Learning. It was developed by the Google Brain team and released in 2015. While it is primarily used by researchers and developers working on deep learning, it can be used for a wide range of other tasks as well.
TensorFlow is designed to be run on either a CPU or a GPU. While it can be run on a CPU, it is much slower than running on a GPU. So, if you’re doing any sort of Machine Learning that requires speed, it’s important to install TensorFlow GPU on your system.
Luckily, it’s not very difficult to do so. In this guide, we’ll show you how to install TensorFlow GPU on an Ubuntu 16.04 system.
Why use TensorFlow GPU?
TensorFlow is a powerful tool for machine learning, but it can be challenging to install. The good news is that you can now install TensorFlow GPU on Ubuntu 16.04 with just a few simple steps.
GPUs are designed for faster and more efficient processing of large amounts of data, making them ideal for machine learning tasks. TensorFlow GPU allows you to take advantage of this computational power to train complex models and achieve state-of-the-art results.
Installing TensorFlow GPU on Ubuntu 16.04 is a fairly straightforward process, but you will need to make sure that you have all of the required dependencies installed first. Follow the steps in this guide to get started.
Before you install TensorFlow GPU on Ubuntu 16.04, you must have a NVIDIA CUDA-compatible GPU with a compute capability greater than or equal to 3.5.
You can check what version of NVIDIA driver you have installed by opening the terminal and typing:
### Install CUDA 8
TensorFlow algorithms will take advantage of a GPU for computation if one is available. This section describes how to install CUDA 8 on Ubuntu 16.04. If you want to install TensorFlow without GPU support, or use a different version of CUDA, these instructions will need to be modified.
-Update your system and install the necessary dependencies:
$ sudo apt-get update && sudo apt-get upgrade
$ sudo apt-get install build-essential cmake unzip pkg-config
TensorFlow can be configured to run on either CPUs or GPUs. For this tutorial, we will be using GPUs. In order to install TensorFlow with GPU support, we need to have a few things installed first. If you already have these installed, you can skip to the “Installing TensorFlow” section.
Before you get started, you’ll want to make sure that your graphics card and driver are compatible with TensorFlow. You can check this by running the following command:
$ lspci | grep -i nvidia
If you see any output, then your graphics card is compatible. If not, then you’ll need to install a compatible graphics card before continuing.
Once you’ve confirmed that your graphics card is compatible, test your installation by running the following command:
$ python -c “import tensorflow as tf;tf.enable_eager_execution();print(tf.reduce_sum(tf.random_normal([1000, 1000])))”
If you installed TensorFlow from pip or your system’s package manager, you should uninstall TensorFlow before installing the GPU version.
pip uninstall tensorflow
To remove theCUDA and cuDNN libraries, run the following commands:
rm -rf /usr/local/cuda
rm -rf /usr/local/cudnn
In this post, we’ve gone over how to install TensorFlow GPU on Ubuntu 16.04. We started by installing the necessary dependencies, then we installed the CUDA toolkit and cuDNN library. Finally, we installed TensorFlow GPU. We hope you found this post helpful!
– [Install CUDA 8.0 on Ubuntu 16.04](https://www.pugetsystems.com/labs/hpc/How-To-Install-CUDA-8-0-on-Ubuntu-16-04-1404/)
– [Install cuDNN 6.0 on Ubuntu 16.04](https://www.pugetsystems.com/labs/hpc/How-To-Install-Theano-on-Ubuntu-16-04/#installingcudnn)
If you want to install TensorFlow with GPU support on your system, then you must have a CUDA enabled GPU. If you don’t have a CUDA enabled GPU, then you can use [this](https://www.tensorflow.org/install/) guide to install TensorFlow without GPU support on your system. This guide will show you how to install TensorFlow with GPU support on an Ubuntu 16.04 system using Anaconda Python distribution (version 5).
Keyword: How to Install TensorFlow GPU on Ubuntu 16.04