dtk-container

Deploys 海光DCU applications in Docker containers using the 海光DTK toolkit.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/dongg622/china-ai-chip-skill --skill dtk-container
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dtk-container
Source: https://github.com/dongg622/china-ai-chip-skill/tree/main/Hygon/dtk-container
Command: npx skills add https://github.com/dongg622/china-ai-chip-skill --skill dtk-container

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

This Skill simplifies the installation, configuration, and utilization of海光DTK容器工具, enabling efficient deployment of海光DCU applications across cloud-native environments.

Core Features & Use Cases

  • Installation and setup: Guides users through installing the DTK Container Toolkit via tarball extraction and scripts.
  • Docker CLI Integration: Provides command references for running containers with GPU and device specifications.
  • Performance and troubleshooting: Helps diagnose GPU visibility issues, environment configurations, and permissions to ensure smooth operation of海光容器应用。

Quick Start

Install the DTK Container Toolkit from the package, verify the installation, and run a sample Docker command to deploy a海光DCU application container.

Frequently Asked Questions about dtk-container

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

FAQPage Schema
How do I deploy海光DCU applications in a Docker container?

To deploy海光DCU applications in a Docker container, you need to install the海光DTK container toolkit via tarball extraction, configure GPU and device specifications in your Docker CLI, and run the container image.

Why is my海光DCU GPU not visible inside the Docker container?

If your海光DCU GPU is not visible inside the Docker container, check your environment configurations, verify device specifications passed in the Docker run command, and troubleshoot permissions to ensure proper GPU visibility.

Does the海光DTK container toolkit support cloud-native environments?

Yes, the海光DTK container toolkit supports cloud-native environments by enabling the installation, configuration, and utilization of海光DCU applications within Docker containers across cloud-native operational scenarios.

What do I need to install before setting up the海光DTK container toolkit?

Before setting up the海光DTK container toolkit, you need a functioning Docker environment and familiarity with Docker commands, alongside the海光DTK toolkit package for tarball extraction and script execution.

How do I run a sample Docker command to test海光DCU application deployment?

To run a sample Docker command for海光DCU application deployment, verify your toolkit installation and execute a Docker run command configured with the appropriate GPU and device specifications for your environment.

What is the best way to diagnose performance issues with海光container applications?

The best way to diagnose performance issues with海光container applications is to check GPU visibility, review environment configurations, and troubleshoot permissions to ensure smooth operation of海光DCU workloads.