Holoscan Debian/apt Installation

Purpose

Install the Holoscan SDK C++ runtime + headers on Ubuntu using NVIDIA's apt repo, selecting the right

holoscan-cuda-*

package for the host's CUDA driver and verifying with the bundled C++ examples.

Prerequisites

Ubuntu x86_64 (22.04 / 24.04) or ARM64 (Jetson / IGX) with an NVIDIA GPU and working driver (
```
nvidia-smi
```
).

sudo

and network access to

developer.download.nvidia.com

and

docs.nvidia.com

```
cuda-keyring
```
package (Step 2 installs it if missing).

Limitations

No Python bindings from apt — pair with
```
/holoscan-install-wheel
```
if the user needs Python.
Ubuntu-only. Other distros must use the container or wheel install.
Package variant must match the host CUDA driver (
```
holoscan-cuda-12
```
vs
```
holoscan-cuda-13
```
); wrong variant → "CUDA driver version is insufficient".

Step 0: Consult the Official Install Instructions

Fetch the Debian/apt section of

https://docs.nvidia.com/holoscan/sdk-user-guide/sdk_installation.html

before installing. Extract:

Exact package names (

holoscan-cuda-12

holoscan-cuda-13

holoscan

)

Supported Ubuntu versions
The cuda-keyring URL for the right distro

If the doc disagrees with anything below, the doc wins.

Determine OS version and CUDA variant if not already known — run in parallel:

bash

lsb_release -a 2>/dev/null || cat /etc/os-release
nvidia-smi 2>&1 | head -5

CUDA variant rule — pick the apt package:

nvidia-smi CUDA Version	Package
13.x+	`holoscan-cuda-13`
12.x (on IGX)	`holoscan`
12.x (not on IGX)	`holoscan-cuda-12`
12.x (nvgpu)	`holoscan-cuda-12`

Step 1: Prerequisites Check

bash

dpkg -l | grep cuda-keyring
dpkg -l | grep -E "holoscan-cuda-(12|13)|^ii  holoscan "
apt-cache show holoscan-cuda-13 holoscan-cuda-12 2>/dev/null | grep -E "^(Package|Version)"

Decision rules based on what Step 1 found:

Skip the keyring step if
```
cuda-keyring
```
is already installed.
Skip
```
apt-get update
```
if the repo is already configured and the package is visible in
```
apt-cache show
```
.
Skip Step 2 entirely and proceed directly to Step 3 if the correct package variant is already installed (e.g.
```
holoscan-cuda-12
```
when targeting cu12).

Step 2: Install

Skip this step if the package is already installed (detected in Step 1) or if user is on IGX platform.

bash

# If cuda-keyring missing (adjust ubuntu2204/ubuntu2404 as needed) and not on IGX platform:
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/x86_64/cuda-keyring_1.1-1_all.deb
sudo dpkg -i cuda-keyring_1.1-1_all.deb && sudo apt-get update

sudo apt-get install -y holoscan-cuda-12   # or holoscan-cuda-13

Step 3: Verify

Set the env once for the rest of this step, then run the three C++ checks:

bash

HS=/opt/nvidia/holoscan
export LD_LIBRARY_PATH=$HS/lib
export HOLOSCAN_INPUT_PATH=$HS/data
ulimit -s 32768

ls $HS/examples/{hello_world,tensor_interop,video_replayer}/

# hello_world — expected: "Hello World!"
$HS/examples/hello_world/cpp/hello_world

# tensor_interop — expected: tensors doubling each pass, "Graph execution finished."
# If "CUDA driver version is insufficient": swap package variant:
#   sudo apt-get remove -y holoscan-cuda-13 && sudo apt-get install -y holoscan-cuda-12
$HS/examples/tensor_interop/cpp/tensor_interop

# video_replayer (10 frames, headless) — expected: Vulkan selects NVIDIA GPU, "Graph execution finished."
# Always run headless: works with or without a display, avoids GUI failure modes over SSH.
ls $HS/data/racerx 2>/dev/null || sudo $HS/examples/download_example_data
python3 -c "
c=open('$HS/examples/video_replayer/cpp/video_replayer.yaml').read()
c=c.replace('count: 0','count: 10').replace('repeat: true','repeat: false').replace('realtime: true','realtime: false')
c=c.replace('  width: 854','  headless: true\n  width: 854')
open('/tmp/vr.yaml','w').write(c)"
$HS/examples/video_replayer/cpp/video_replayer --config /tmp/vr.yaml

Step 4: Give the User the Reusable Env Snippet

Once verified, share this snippet with user and suggest adding it to their shell startup file (e.g.,

~/.bashrc

) if they want it to persist across sessions:

bash

export LD_LIBRARY_PATH=/opt/nvidia/holoscan/lib:${LD_LIBRARY_PATH}
export HOLOSCAN_INPUT_PATH=/opt/nvidia/holoscan/data
ulimit -s 32768

Then offer next steps:

Add Python support:
```
/holoscan-install-wheel
```
Explore examples:
```
ls /opt/nvidia/holoscan/examples/
```
Walk through a specific example:
```
/explain-example
```
Start building a custom Holoscan application

Troubleshooting

python3 -c "import holoscan"
fails after apt install. Expected — the Debian package has been C++ only since v3.0.0. Run
```
/holoscan-install-wheel
```
to add Python bindings.
"CUDA driver version is insufficient" when running an example. Wrong package variant. Re-check
```
nvidia-smi
```
CUDA Version and swap variants:
```
sudo apt-get remove -y holoscan-cuda-13 && sudo apt-get install -y holoscan-cuda-12
```
(or vice versa).
E: Unable to locate package holoscan-cuda-12
.
```
cuda-keyring
```
not installed or repo not yet pulled. Run the keyring +
```
apt-get update
```
block in Step 2 (adjust
```
ubuntu2204
```
/
```
ubuntu2404
```
to match the host).
Segmentation fault when launching an example.
```
ulimit -s 32768
```
not set in the current shell. Prepend it to the command (Step 3 pattern).

error while loading shared libraries: libholoscan_core.so
.

LD_LIBRARY_PATH

is unset. Use the env snippet from Step 4 —

export LD_LIBRARY_PATH=/opt/nvidia/holoscan/lib

video_replayer
can't find data. Set

HOLOSCAN_INPUT_PATH=/opt/nvidia/holoscan/data

, or run

sudo /opt/nvidia/holoscan/examples/download_example_data

to fetch the

racerx

dataset.

holoscan-install-debian

NPX Install

Tags

SKILL.md Content

Holoscan Debian/apt Installation

Purpose

Prerequisites

Limitations

Step 0: Consult the Official Install Instructions

Step 1: Prerequisites Check

Step 2: Install

Step 3: Verify

Step 4: Give the User the Reusable Env Snippet

Troubleshooting