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eks-genai - Design generative AI workloads on Amazon EKS

Provides opinionated guidance for building, training, fine-tuning, and serving generative AI and LLM workloads on Amazon EKS.

Tags

Updated: 2026-09-29

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Select GPU or Neuron hardware
  • Design EKS accelerator scheduling
  • Choose serving frameworks
  • Plan distributed training
  • Select ML storage
  • Design GenAI observability
  • Configure AI gateways
  • Optimize GenAI costs
  • Apply security baseline

Inputs

  • Workload type
  • Model family
  • Latency requirements
  • Cost posture
  • Team skill level
  • Project timeline
  • Serving requirements
  • Training requirements
  • Storage requirements

Outputs

  • Hardware recommendations
  • EKS stack recommendations
  • Serving architecture guidance
  • Training architecture guidance
  • Storage recommendations
  • Observability recommendations
  • AI gateway recommendations
  • Cost optimization guidance
  • Security guidance

Requirements

  • Amazon EKS
  • Self-hosted AI or LLM workload
  • GPU or Neuron support when applicable

Source

  • Spec: SKILL.md
Amazon EKS
Generative AI
LLM
GPU
AWS Neuron
Model serving
Distributed training
Karpenter
vLLM
AI gateway
Select GPU or Neuron hardware
Design EKS accelerator scheduling
Choose serving frameworks
Plan distributed training
Workload type
Model family
Latency requirements
Hardware recommendations
EKS stack recommendations
Serving architecture guidance