skills.rest
sayalinvidia
sayalinvidiaCOMMUNITY
Explore all skills by this author →
GitHub

holoscan-install-container

Install Holoscan SDK in a Docker container and validate GPU-enabled execution.

Updated Apr 16, 2026
Search Tags:#docker#gpu#container#installation#ngc#holoscan
One-click install
npx skills add https://github.com/sayalinvidia/sayali-skills-test --skill holoscan-install-container
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: holoscan-install-container
Source: https://github.com/sayalinvidia/sayali-skills-test/tree/main/skills/holoscan-install-container
Command: npx skills add https://github.com/sayalinvidia/sayali-skills-test --skill holoscan-install-container

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Install Holoscan SDK via the NGC Docker container for container-based installs; not suitable for native apt/pip/Conda installs.

Core Features & Use Cases

  • Official Holoscan SDK container installation using the NGC image.
  • GPU compatibility verification and environment checks with Docker and the NVIDIA runtime.
  • Use Case: deploy Holoscan pipelines on Linux workstations or servers using Docker.

Quick Start

Pull the Holoscan container image for your GPU, verify Docker GPU access, and run the provided example tasks inside the container.

Frequently Asked Questions about holoscan-install-container

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I install the Holoscan SDK using a Docker container?▼

You can install the Holoscan SDK by pulling the official NGC image and running the verification examples. This container-based deployment requires Docker configured with the NVIDIA runtime and a compatible host CUDA driver to validate GPU-enabled execution.

Does the Holoscan container installation require a specific GPU driver?▼

Yes, Holoscan container installation requires a compatible host CUDA driver and the NVIDIA Container Toolkit. You must determine the correct image tag using nvidia-smi and configure Docker with the NVIDIA runtime to verify GPU access.

Can I use this approach to deploy Holoscan pipelines on Linux servers?▼

Yes, this container-based installation is applicable for deploying Holoscan pipelines on Linux workstations and servers. It uses Docker with the NVIDIA runtime to pull the nvcr.io/nvidia/clara-holoscan/holoscan image and validate GPU-enabled workflows.

What is the best way to verify GPU access for a Holoscan container?▼

The best way to verify GPU access is by running the provided example tasks inside the pulled Holoscan container. This validates your Docker environment, NVIDIA runtime configuration, and GPU-enabled execution directly after pulling the image from NGC.

When should I not use a container for Holoscan SDK installation?▼

You should not use this container-based installation for native apt, pip, or Conda installs. This approach is specifically designed for container-based deployments using the NGC Docker image, rather than direct host system package installations.

Related Skills

Explore More Software Engineering Skills→
NVIDIA-TAONVIDIA-TAO
83

tao-run-on-docker

Run Docker containers on GPU hosts with NVIDIA Container Toolkit.

Official
Intermediate
ovachieverovachiever
52

ray-data

Process distributed ML data pipelines with Ray Data across CPU/GPU clusters.

Community
Advanced
jayll1303jayll1303
17

docker-gpu-setup

Build GPU-enabled Docker containers with NGC base images and uv.

Community
Advanced
sayalinvidiasayalinvidia

holoscan-setup

Inspects host and recommends the appropriate Holoscan SDK installation method.

Community
Advanced