Aug 10, 2018 Problem 6: You select Nvidia Web Drivers in the menu bar or the Nvidia Driver Manager preference pane but when you restart OS X Default Graphics Driver is checked. This is caused when your board does not have native NVRAM support such as Gigabyte 100 series boards. Fix: setup emulated NVRAM to store the nvdadrv=1 boot flag in boot-args.

Mar 12, 2018 Hello everyone, KCOOL here. In this tutorial, i am gonna show you how to solve a problem that happens after installing Nvidia CUDA driver on Macbook pro.
Apr 03, 2019 In Part 1 of this series, I discussed how you can upgrade your PC hardware to incorporate a CUDA Toolkit compatible graphics processing card, such as an Nvidia GPU. This Part 2 covers the installation of CUDA, cuDNN and Tensorflow on Windows 10. This article below assumes that you have a CUDA-compatible GPU already installed on your PC; but if you haven’t got this already, Part 1 of this.
CUDA driver update to support macOS 10.12 and NVIDIA display driver 378.05.05.25f01; Recommended CUDA version(s): CUDA 8.0; Supported MAC OS X. 10.12.x; 10.11.x; An alternative method to download the latest CUDA driver is within Mac OS environment. Access the latest driver through System Preferences Other CUDA. Click 'Install CUDA Update'.
STEP 3: Install Note: Quadro FX for Mac or GeForce for Mac must be installed prior to CUDA Driver 396.64 installation. Double-click on cudadriver396.64macos.dmg; Click Continue on the Installer Welcome screen; Click Continue after you read the License Agreement and then click Agree; Click Install on the Standard Install Screen.

This is the first article in a series that I will write about on the topic of parallel programming and CUDA. In this guide I will explain how to install CUDA 6.0 for Mac OS X. CUDA is a proprietary programming language developed by NVIDIA for GPU programming, and in the last few years it has become the standard for GPU computing. GPU computing is a new branch of computer science and, more specifically, of parallel computing.

I will cover parallel computing in detail in later articles, but if I had to outline in a few words what parallel computing is I would say that it is the partition of repetitive (and therefore often time consuming) tasks into singular tasks, each of which is performed by a single core or processing unit.

To better explain the key concept behind parallel computing, let me give you a more 'realistic' example. You have to move to a new town and are looking to hire a furniture mover company. You have two choices: the first company can provide you with the strongest man alive driving the world's fastest van. The second one instead has 5 normal men available, each of them with a van of average speed. What would you prefer? Of course it depends of how much stuff you have to move and how much time you have to do it.

Mac Cuda Drivers

If you need the work done quickly and have to move a lot of furniture, of course you will chose the second company. Each of the men is much slower than the strong guy, but if they are able to transport your load concurrently they will have the time to complete the task, have a beer together and come back to their family before the strong guy has done half the work. GPU computing is like having hundreds and thousands of skinny guys with old vans, which can be pretty effective.

This is the main idea about parallel computing. What follows are the instructions to install the necessary software to use thousands of 'vans' to enhance the performance of your code.

CUDA Installation On Mac OSX

Mac Os Cuda

In this guide, I explain how to install CUDA 6.0 (the latest release as I write) on your computer under OS X.

Finder menu 'GO'

Install Nvidia Driver Mac Os X Cuda Cudann

General System Requirements

There are some general requirements which are common regardless of the operating system you use. The most important one is a CUDA-capable GPU, so you need a recent NVIDIA graphics card. A full list is available here. The other requirement is to have the CUDA Toolkit, which is free and provides you all you need to install and run CUDA code. By clicking on this link you will open the download page. Choose your operating system (in this case I presume Mac OS X) and then download the package by clicking on PKG.

CUDA 6.0 Downloads page

If you don't know the card/cards available on your Mac, then just go to Application > Utilities > System Information or search for System Information with Spotlight in this way and click on the icon.

Searching with Spotlight

Then look for Graphics/Displays and you will get information on your graphics card, including the name. In this case I have two of them and, fortunately, one of them is an NVIDIA.

System Information - Graphics/Displays

Mac OS X Requirements

If you want to install CUDA 6.0 on a Mac you need to have OS X 10.8 (Lion) or later running on your computer. If you don't, you can download Mavericks (OS X 10.9) from the App Store, which is free. In the situation where you cannot install OS X 10.8 or later, don't worry: you can install older CUDA releases. The installation is similar, but if some of you experience trouble, I will provide help in future articles.

In order to use CUDA 6.0 you need the GNU Compiler Collection (gcc) and clang on your Mac. They are compliers for the C-family of programming languages and CUDA is a library for them. Actually, you will code the 'serial' (non-parallel) parts of your code in C or C++. To get these two compilers you first need the Command Line Tools, which once again are free to download from the App Store.

Anyway, as you might have already installed the Command Line Tools without even noticing (especially if you already have XCode), I suggest you check its presence by going to the folder /Library/Developer/ by clicking on Go to Folder in the Finder menu or by using the shortcut Shift - Apple Key - G after clicking the Finder icon.

Go to Folder Window

If you find the folder named CommandLineTools you can then check for needed packages by entering it, opening the usr folder and then bin. If you already have the CommandLineTools folder you should very likely even have the clang and gcc packages. If you don't then you will need to download them.

Open your Terminal (which can be found in /Applications/Utilities or, as usual, by typing “Terminal” in Spotlight and then clicking on its icon) and typing into the terminal:

Terminal on OS X

Then a window will appear, asking you if you want to download and install this package. Click yes, and the installation will proceed. Do not close the Terminal as we will need it later.

CommandLineTools installation window

Installing CUDA Packages

In the previously downloaded CUDA package, you should find three distinct packages: CUDA Driver, CUDA Toolkit and CUDA Samples. Despite the fact that the only essential one is the CUDA Driver, I suggest you install all of them, as they are very useful.

Packages selection during CUDA 6.0 installation

As always installation of Mac OS X packages is straightforward. Just click 'Continue' on every window. At one point you will have to agree to terms and conditions by clicking on the Agree button when it appears) and then Install in the final one. Now you have CUDA 6.0 installed on your Mac, but it is not quite ready to be used. You have to carry out the final two steps. Open the Terminal (if you missed how to do this, just read a couple of paragraphs above) and then type or, more conveniently, copy and paste, the following:

Setting path variables on Terminal

This will set the environment path variables, which is necessary to use CUDA. If you have a Mac with a CUDA-capable graphic card, you probably actually have two graphic cards: an integrated one and a separate, discrete one. Since it is consumes a lot of batter power to

Install Nvidia Driver Mac Os X Cuda Cudann