Skills
.Work. You
Rest

gpu-workload

Community

Run end-to-end GPU workloads on DGX Spark.

Data & Analytics#kubernetes#gpu#inference#operator#dra#uma
Authorthc1006
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill streamlines deploying and managing GPU workloads on DGX Spark by integrating NVIDIA GPU Operator, DRA, and inference services, reducing setup time and errors.

Core Features & Use Cases

  • Install and configure NVIDIA GPU Operator on the DGX Spark cluster.
  • Configure and enable Dynamic Resource Allocation (DRA) for GPU workloads.
  • Deploy GPU inference services and monitor GPU utilization.
  • Consider DGX Spark UMA memory architecture for optimal scheduling and time-slicing.

Quick Start

Install the NVIDIA GPU Operator and DRA, then deploy a GPU inference service on a DGX Spark cluster.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: gpu-workload
Download link: https://github.com/thc1006/dgx_spark_deploy_claude_k8s_skills/archive/main.zip#gpu-workload

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
View Source Repository

Agent Skills Search Helper

Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.