mxk8s

What problem does it solve?

This Skill simplifies the deployment and management of GPU resources within Kubernetes environments, enabling efficient utilization of GPU clusters for AI workloads.

Core Features & Use Cases

• Device Plugin Deployment: Automatically deploys and configures GPU device plugins for Kubernetes clusters.
• GPU Scheduling & Management: Facilitates scheduling of entire GPUs or sGPU slices to multiple containers, supporting containerized AI workloads.
• Monitoring & Troubleshooting: Provides scripts and best practices for environment checks, resource validation, and fault diagnosis in GPU-enabled Kubernetes clusters.
• Use Case: Example scenarios include deploying multi-GPU training jobs, sharing GPU slices among containers, and ensuring GPU drivers are correctly loaded and accessible.

Quick Start

Launch the environment health check script to verify cluster readiness before deploying AI workloads.