model-deploy
OfficialDeploy AI/ML models on OpenShift AI with ease.
AuthorRHEcosystemAppEng
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the deployment of AI/ML models on OpenShift AI, simplifying the process and ensuring models are served efficiently.
Core Features & Use Cases
- Deploy AI/ML Models: Deploy models using KServe with support for vLLM, NVIDIA NIM, and Caikit+TGIS runtimes.
- Environment Validation: Validates necessary components and resources are present and correctly configured before deployment.
- Runtime Selection: Automatically selects the appropriate runtime based on the model and cluster capabilities.
- GPU and Resource Optimization: Optimizes model deployment for available hardware and resource constraints.
Quick Start
Use the model-deploy skill to deploy a model named 'modelA' to the namespace 'my-namespace'.
Dependency Matrix
Required Modules
resources_getresources_listresources_create_or_updatepods_listpods_logevents_listdeploy_modellist_inference_servicesget_inference_serviceget_model_endpointlist_serving_runtimeslist_data_science_projectslist_data_connectionsget_gpu_infoget_deployment_infoanalyze_vllm
Components
scriptsreferencesassets
💻 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: model-deploy Download link: https://github.com/RHEcosystemAppEng/agentic-plugins/archive/main.zip#model-deploy Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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