Kubernetes AI Expert
CommunityDeploy AI workloads on Kubernetes with GPUs
Authorfrankxai
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Solves the challenge of deploying AI workloads on Kubernetes with GPU scheduling and scalable model serving.
Core Features & Use Cases
- GPU-accelerated AI deployment on Kubernetes using NVIDIA operators and standard deployment patterns.
- Multi-framework model serving (vLLM, Triton, TGI) with GPU scheduling and autoscaling.
- Use Case: Run inference services that scale across GPU nodes, with monitoring, networking, and ML lifecycle management.
Quick Start
Use the Kubernetes AI Expert skill to deploy a sample inference service on a Kubernetes cluster using the provided manifests.yaml
Dependency Matrix
Required Modules
None requiredComponents
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: Kubernetes AI Expert Download link: https://github.com/frankxai/ai-architect-academy/archive/main.zip#kubernetes-ai-expert Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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