CUDA (Compute Unified Device Architecture) is a parallel computing platform and application programming interface (API) model created by Nvidia. It allows software developers and software engineers to use a CUDA-enabled graphics processing unit (GPU) for general purpose processing – an approach termed GPGPU (General-Purpose computing on Graphics Processing Units). Download English (US), New Release 410.130. CUDA driver update to support CUDA Toolkit 10.0 and macOS 10.13.6.

1. Nvidia Cuda 5.5 For Mac Os X Release
2. Nvidia Cuda Driver Mac
3. Nvidia Cuda 10.1
4. Nvidia Cuda Driver
5. Nvidia Cuda Install

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.

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)

Nvidia Cuda 5.5 For Mac Os X Release

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. Remote debugging from a macOS host to other CUDA enabled targets, however, is supported.

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
Native macOS profiling is not supported in this release. Remote profiling from a macOS host to other CUDA enabled targets, however, is supported.
Supported Mac platforms: Mac OS X 10.13
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/
3. Download and install the required version of JDK.
   (Refer to the Notes about JRE Requirements when using Visual Profiler on the macOS section, below)

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 -vm <path_to_java>
   <path_to_java> should point to the JRE update 151 version of Java (See Notes about JRE Requirements, below).
   
   For example:
   > ./nvvp -vm /Library/Java/JavaVirtualMachines/zulu-8.jdk/Contents/Home/jre/bin/java
   
Summary of supported features:
1. Remote profiling
2. Import nvprof output files
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



Notes about JRE Requirements when using Visual Profiler on the macOS

OpenJDK provides an open-source (and standards compliant) implementation of a Java compliant JVM.
Binaries are provided by various vendors such as Oracle, Azul Systems (Zulu), Amazon, Red Hat, IBM, etc.

Nvidia Cuda 10.1

Visual Profiler needs to use an older version of Java, specifically JRE update 151, to work correctly.
This is currently not offered by Oracle JDK but is provided by Azul Systems (Zulu).

Nvidia Cuda Driver

The Bazel Build project also uses the Zulu builds of OpenJDK.

Nvidia Cuda Install

Download JDK 8.0.144 to get JRE update 151:
• Download version: 8u144-b01 (Zulu: 8.23.0.3) .dmg.zip.tar.gz
• Download version: Zulu 8.23.0.3 (build 1.8.0_144-b01 .zip