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:



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NVIDIA® development tools are freely offered through the NVIDIA Registered Developer Program



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
    6. 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
        This is free software: you are free to change and redistribute it.
        There is NO WARRANTY, to the extent permitted by law.

    7. Follow the directions for remote debugging at
        https://docs.nvidia.com/cuda/cuda-gdb/index.html#remote-debugging


Instructions for installing Visual Profiler on the macOS

    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)
    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.
    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).