1. Nvidia Cuda 5.5 For Mac Os X Release
2. Nvidia Cuda Driver Mac
3. Mac Cuda
4. Nvidia Mac Os

NVIDIA® CUDA Toolkit 11.0 no longer supports development or running applications on macOS. While there are no tools which use macOS as a target environment, NVIDIA is making macOS host versions of these tools that you can launch profiling and debugging sessions on supported target platforms.

You may download all these tools here. Note that the Nsight tools provide the ability to download these macOS host versions on their respective product pages.

Please visit each tool's overview page for more information about the tool and its supported target platforms.

1. New Release 7.5.20. CUDA 7.5 support; Supported MAC OS X 10.11.x 10.10.x 10.9.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'.
2. In order to run Mac OS X Applications that leverage the CUDA architecture of certain NVIDIA graphics cards, users will need to download and install the CUDA 5.5.28 driver for Mac located here. New in Release 313.01.4f06: Graphics driver updated for Mac OS X Mountain Lion 10.8.5 (12F2560).
3. New Release 8.0.63. CUDA driver update to support macOS 10.12 and NVIDIA display driver 367.15.10.35f01; 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.
4. CUDA Application Support: In order to run Mac OS X Applications that leverage the CUDA architecture of certain NVIDIA graphics cards, users will need to download and install the 7.5.29 driver for Mac located here. New in Release 346.03.15f05: Graphics driver updated for Mac OS X El Capitan 10.11.6 (15G1212).

The initial CUDA SDK was made public on 15 February 2007, for Microsoft Windows and Linux. Mac OS X support was later added in version 2.0, which supersedes the beta released February 14, 2008. CUDA works with all Nvidia GPUs from the G8x series onwards, including GeForce, Quadro and the Tesla line.

The macOS host tools provided are:

• Nsight Systems - a system profiler and timeline trace tool supporting Pascal and newer GPUs
• Nsight Compute - a CUDA kernel profiler supporting Volta and new GPUs
• Visual Profiler - a CUDA kernel and system profiler and timeline trace tool supporting older GPUs (see installation instructions, below)
• cuda-gdb - a GPU and CPU CUDA application debugger (see installation instructions, below)

Instructions for installing cuda-gdb on the macOS

This tar archive holds the distribution of the CUDA 11.0 cuda-gdb debugger front-end for macOS.
Native macOS debugging is not supported in this release, only remote debugging to other CUDA enabled targets.

To install:
1. Create an installation directory
   INSTALL_DIR=$HOME/cuda-gdb-darwin-11.0
   mkdir $INSTALL_DIR
   cd $INSTALL_DIR
   
2. Download the cuda-gdb-darwin-11.0.tar.gz tar archive into $INSTALL_DIR above
3. Unpack the tar archive
   tar fxvz cuda-gdb-darwin-11.0.tar.gz
4. Add the bin directory to your path
   PATH=$INSTALL_DIR/bin:$PATH
5. Run cuda-gdb --version to confirm you're picking up the correct binaries
   cuda-gdb --version

You should see the following output:

NVIDIA (R) CUDA Debugger
11.0 release
Portions Copyright (C) 2007-2020 NVIDIA Corporation
GNU gdb (GDB) 8.2
Copyright (C) 2018 Free Software Foundation, Inc.
License GPLv3+: GNU GPL version 3 or later

Nvidia Cuda 5.5 For Mac Os X Release

Steps to install:
1. Double click .dmg file to mount it and access it in finder.
2. Drag nvvp folder and drop it to any location you want (say <nvvp_mac>).
   Directory Structure:
   |--nvvp
   |--bin/
   |--lib64/
   |--libnvvp/

Nvidia Cuda Driver Mac

Steps to run:
1. Open terminal.
2. Change to the bin folder
   > cd <nvvp_mac>/nvvp/bin
3. Run nvvp script file in command line
   > ./nvvp

Mac Cuda

Summary of supported features:
1. Remote profiling
2. Import nvprof output files

Nvidia Mac Os

Refer the 'Visual Profiler' section in the 'Profiler User's Guide'
for more information:
https://docs.nvidia.com/cuda/profiler-users-guide/index.html#visual