NVIDIA CUDA Toolkit for MAC – Development environment for CUDA-enabled GPUs. This app was created by NVIDIA Inc. and today updated into the last version. Download this Developer Tools app for free now on ForMacApps.com


NVIDIA CUDA Toolkit for MAC Latest Version

NVIDIA CUDA Toolkit for Mac: Free Download + Review [Latest Version]. Before you download the .dmg file, here we go some fact about NVIDIA CUDA Toolkit that maybe you want to need to know.

App Name NVIDIA CUDA Toolkit App
File Size 406 KB
Developer NVIDIA
Update 2019-02-05
Version 10.13
Requirement OS X 10.8.0
License FreeWare

NVIDIA CUDA Toolkit icon


About NVIDIA CUDA Toolkit App for MAC

The NVIDIA CUDA Toolkit provides a development environment for creating high performance GPU-accelerated applications. With the CUDA Toolkit, you can develop, optimize and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise data centers, cloud-based platforms and HPC supercomputers. The toolkit includes GPU-accelerated libraries, debugging and optimization tools, a C/C++ compiler and a runtime library to deploy your application

GPU-accelerated CUDA libraries enable drop-in acceleration across multiple domains such as linear algebra, image and video processing, deep learning and graph analytics. For developing custom algorithms, you can use available integrations with commonly used languages and numerical packages as well as well-published development APIs. Your CUDA applications can be deployed across all NVIDIA GPU families available on premise and on GPU instances in the cloud. Using built-in capabilities for distributing computations across multi-GPU configurations, scientists and researchers can develop applications that scale from single GPU workstations to cloud installations with thousands of GPUs

New Features

Version 10.3:

Full log available here

  • CUDA 10.0 adds support for the Turing architecture (compute_75 and sm_75)
  • CUDA 10.0 adds support for new programming constructs called CUDA Graphs, a new asynchronous task-graph programming model that enables more efficient launch and execution. See the API documentation for more information
  • Warp matrix functions now support additional matrix shapes 32x8x16 and 8x32x16. Warp matrix functions also include the ability (experimental in CUDA 10.0) to perform sub-byte operations (4-bit unsigned, 4-bit signed and 1-bit) using the Tensor Cores
  • Added support for CUDA-Vulkan and CUDA-DX12 interoperability APIs
  • Added support for a new instruction nanosleep that suspends a thread for a specified duration
  • Added 6.3 version of the Parallel Thread Execution instruction set architecture (ISA). For more details on new (sm_75 target, wmma, nanosleep, FP16 atomics) and deprecated instructions, see this section in the PTX documentation
  • Starting with CUDA 10.0, the CUDA runtime is compatible with specific older NVIDIA drivers. A new package called “cuda-compat-” is included in the toolkit installer packages. For more information on compatibility, see the section in the Best Practices Guide
  • The following new operating systems are supported by CUDA. See the System Requirements section in the NVIDIA CUDA Installation Guide for Linux for a full list of supported operating systems
    • Ubuntu 18.04 LTS*
    • Ubuntu 14.04 LTS
    • SUSE SLES 15
    • OpenSUSE Leap 15
  • Added support for peer-to-peer (P2P) with CUDA on Windows (WDDM 2.0+ only)
  • Added a new CUDA sample to demonstrate multi-device cooperative group APIs
  • CUDA samples are now also available on GitHub: https://github.com/NVIDIA/cuda-samples
  • Added APIs to retrieve the LUID of CUDA devices (cuDeviceGetLuid)
  • Added cudaLimitMaxL2FetchGranularity in the device management APIs (cudaDeviceGetLimit) to set the maximum fetch granularity of L2 (in Bytes)
  • The cudaDeviceProp struct now includes the device UUID
  • Added support for synchronization across multiple devices with Cooperative Groups (cuLaunchCooperativeKernelMultiDevice) on Windows in TCC mode

Installing Apps on MAC

Most Mac OS applications downloaded from outside the App Store come inside a DMG file. Like if you wanna download NVIDIA CUDA Toolkit for mac from this page, you’ll directly get the .dmg installation file into your MAC.

  1. First, download the NVIDIA CUDA Toolkit .dmg installation file from the official link on above
  2. Double-click the DMG file to open it, and you’ll see a Finder window.
  3. Often these will include the application itself, some form of arrow, and a shortcut to the Applications folder.
  4. Simply drag the application’s icon to your Applications folder
  5. And you’re done: the NVIDIA CUDA Toolkit is now installed.
  6. When you’re done installing: just click the “Eject” arrow.
  7. Then you can feel free to delete the original DMG file: you don’t need it anymore.
  8. Now, enjoy NVIDIA CUDA Toolkit for MAC !

You don’t have to put your programs in the Applications folder, though: they’ll run from anywhere. Some people create a “Games” directory, to keep games separate from other applications. But Applications is the most convenient place to put things, so we suggest you just put everything there.

DMG files are mounted by your system, like a sort of virtual hard drive. When you’re done installing the application, it’s a good idea to unmount the DMG in Finder.

Uninstall Apps on MAC

Removing NVIDIA CUDA Toolkit apps is more than just moving them to the Trash — it’s completely uninstalling them. To completely uninstall a program on MacBook/iMac, you have to choose one of the options on below.

Method 1: Remove apps using Launchpad

Another manual way to delete NVIDIA CUDA Toolkit apps from your Mac is using the Launchpad. Here’s how it works:

  1. Click Launchpad icon in your Mac’s Dock.
  2. Find the NVIDIA CUDA Toolkit that you want to delete.
  3. Click and hold the NVIDIA CUDA Toolkit icon’s until it starts shaking.
  4. Click X in the top-left corner of the app icon.
  5. Click Delete.

Method 2: Delete MAC apps with CleanMyMac X

Now it’s time for the safe and quick app uninstalling option. There’s a safest way to uninstall NVIDIA CUDA Toolkit on Mac without searching all over your Mac, and that’s by using CleanMyMac X.

  1. Launch CleanMyMac X and click on Uninstaller in the left menu.
  2. Select the , you can either uninstall it or, if it’s not acting as it should, you can perform an Application Reset.
  3. Click on Uninstall or choose Application Reset at the top.
  4. Now that the application cleanup is complete, you can view a log of the removed items, or go back to your app list to uninstall more.
  5. And you’re done to remove NVIDIA CUDA Toolkit from your MAC!


NVIDIA CUDA Toolkit Alternative App for MAC

Here we go some list of an alternative/related app that you must try to install into your lovely MAC OSX

Drivers for performance-focused parallel computing platform.

Download NVIDIA CUDA Drivers for MAC

Quadro & GeForce OS X Drivers
NVIDIA Drivers for GeForce and Quadro video cards.

Download Quadro & GeForce OS X Drivers for MAC

OLK Converter
Export olk15message / olk14message to MSG, PST & EML.

Download OLK Converter for MAC

This NVIDIA CUDA Toolkit .dmg installation file is absolutely not hosted in Apps4Mac.com. When you click the “Download” button on this page, files will downloading directly from the owner sources Official Server. NVIDIA CUDA Toolkit is definitely an app for MAC that created by Inc. We are not straight affiliated with them. All trademarks, registered trademarks, item names and business names or logos that mentioned in here are the assets of their respective owners. We’re DMCA-compliant and gladly to work with you.