GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm
OTHER License
NVTOP stands for Neat Videocard TOP, a (h)top like task monitor for GPUs and accelerators. It can handle multiple GPUs and print information about them in a htop-familiar way.
Currently supported vendors are AMD (Linux amdgpu driver), Apple (limited M1 & M2 support), Huawei (Ascend), Intel (Linux i915 or Xe driver), NVIDIA (Linux proprietary divers), Qualcomm Adreno (Linux MSM driver).
Because a picture is worth a thousand words:
NVTOP has a builtin setup utility that provides a way to specialize the interface to your needs.
Simply press F2
and select the options that are the best for you.
You can save the preferences set in the setup window by pressing F12
.
The preferences will be loaded the next time you run nvtop
.
NVTOP comes with a manpage!
man nvtop
For quick command line arguments help
nvtop -h
nvtop --help
NVTOP supports AMD GPUs using the amdgpu
driver through the exposed DRM and
sysfs interface.
AMD introduced the fdinfo interface in kernel 5.14 (browse kernel source). Hence, you will need a kernel with a version greater or equal to 5.14 to see the processes using AMD GPUs.
Support for recent GPUs are regularly mainlined into the linux kernel, so please use a recent-enough kernel for your GPU.
NVTOP supports Intel GPUs using the i915
or xe
linux driver.
Intel introduced the fdinfo interface in kernel 5.19 (browse kernel source). Hence, you will need a kernel with a version greater or equal to 5.19 to see the processes using Intel GPUs.
INTEL SUPPORT STATUS
HWMON
The NVML library does not support some of the queries for GPUs coming before the Kepler microarchitecture. Anything starting at GeForce 600, GeForce 800M and successor should work fine. For more information about supported GPUs please take a look at the NVML documentation.
NVTOP supports Adreno GPUs using the msm
linux driver.
msm introduced the fdinfo interface in kernel 6.0 (browse kernel source). Hence, you will need a kernel with a version greater or equal to 6.0 to see the processes using Adreno GPUs.
NVTOP includes some initial support for Apple using Metal. This is only supported when building for Apple, and when building for Apple only this vendor is supported.
APPLE SUPPORT STATUS
NVTOP supports Ascend (testing on Altas 800 (910B)) by DCMI API (version 6.0.0).
Currently, the DCMI only supports limited APIs, missing PCIe generation, tx/rx throughput info, max power draw etc.
Several libraries are required in order for NVTOP to display GPU info:
If your distribution provides the snap utility, follow the snap installation process to obtain an up-to-date version of nvtop
.
A standalone application is available as AppImage.
sudo apt install nvtop
A PPA supporting Ubuntu 20.04, 22.04 and newer is provided by
Martin Wimpress that offers an up-to-date
version of nvtop
, enabled for NVIDIA, AMD and Intel.
sudo add-apt-repository ppa:flexiondotorg/nvtop
sudo apt install nvtop
AMD and Intel Dependencies
sudo apt install libdrm-dev libsystemd-dev
# Ubuntu 18.04
sudo apt install libudev-dev
NVIDIA Depenency
NVTOP Dependencies
CMake, ncurses and Git
sudo apt install cmake libncurses5-dev libncursesw5-dev git
A standalone application is available as AppImage.
sudo dnf install nvtop
sudo dnf install -y https://dl.fedoraproject.org/pub/epel/epel-release-latest-$(rpm -E %{rhel}).noarch.rpm
sudo dnf install nvtop
sudo dnf install -y epel-release
sudo dnf install nvtop
AMD and Intel Dependencies
sudo dnf install libdrm-devel systemd-devel
NVIDIA Depenency
NVTOP Dependencies
CMake, ncurses, C++ and Git
sudo dnf install cmake ncurses-devel git gcc-c++
A standalone application is available as an AppImage.
Build process for OpenSUSE:
AMD Dependecy
sudo zypper install libdrm-devel
NVIDIA Depenency
NVTOP Dependencies
sudo zypper install cmake ncurses-devel git
NVTOP
sudo pacman -S nvtop
sudo layman -a guru && sudo emerge -av nvtop
An AppImage is a standalone application. Just download the AppImage, make it executable and run it!
Go to the release page and download nvtop-x86_64.AppImage
# Go to the download location ** The path may differ on your system **
cd $HOME/Downloads
# Make the AppImage executable
chmod u+x nvtop-x86_64.AppImage
# Enjoy nvtop
./nvtop-x86_64.AppImage
If you are curious how that works, please visit the AppImage website.
snap install nvtop
# Add the capability to kill processes inside nvtop
snap connect nvtop:process-control
# Add the capability to inspect GPU information (fan, PCIe, power, etc)
snap connect nvtop:hardware-observe
# AMDGPU process list support (read /proc/<pid>)
snap connect nvtop:system-observe
# Temporary workaround to get per-process GPU usage (read /proc/<pid>/fdinfo)
snap connect nvtop:kubernetes-support
Notice: The connect commands allow
A conda-forge feedstock for nvtop
is available.
conda install --channel conda-forge nvtop
pixi global install nvtop
NVIDIA drivers (same as above)
git clone https://github.com/Syllo/nvtop.git && cd nvtop
sudo docker build --tag nvtop .
sudo docker run -it --rm --runtime=nvidia --gpus=all --pid=host nvtop
git clone https://github.com/Syllo/nvtop.git
mkdir -p nvtop/build && cd nvtop/build
cmake .. -DNVIDIA_SUPPORT=ON -DAMDGPU_SUPPORT=ON -DINTEL_SUPPORT=ON
make
# Install globally on the system
sudo make install
# Alternatively, install without privileges at a location of your choosing
# make DESTDIR="/your/install/path" install
If you use conda as environment manager and encounter an error while building NVTOP, try conda deactivate
before invoking cmake
.
The build system supports multiple build types (e.g. -DCMAKE_BUILD_TYPE=RelWithDebInfo):
$TERM
) by setting the field Terminal-type string
to putty
in the menuConnection > Data > Terminal Details
.NVTOP is licensed under the GPLv3 license or any later version. You will find a copy of the license inside the COPYING file of the repository or at the GNU website <www.gnu.org/licenses/>.