# gke-inference

> This reference covers deploying AI/ML inference workloads on GKE using Google's Inference Quickstart (GIQ) and best practices for LLM serving.

- Source: https://doutorai.pt/en/components/skills__gke-inference
- Type: Skills
- Category: Development
- Downloads: 0
- Site: Doutor AI (https://doutorai.pt/en) - AI tools for small businesses

An open-source community component, curated and adapted by Doutor AI.

## What it does and how to use it

A **skill** that teaches Claude Code to do development tasks well. It is packaged knowledge the model uses whenever it is relevant.

1. Install the skill (command above).
2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
3. No commands to memorize: you talk in plain language and the skill does the rest.

## Install (Claude Code)

```bash
mkdir -p .claude/skills/gke-inference && curl -fsSL https://doutorai.pt/data/lib/skills__gke-inference.md -o .claude/skills/gke-inference/SKILL.md
```

Paste this command into the terminal, in your project folder, and the component installs automatically.

## Content

```
# GKE AI/ML Inference

This reference covers deploying AI/ML inference workloads on GKE using Google's Inference Quickstart (GIQ) and best practices for LLM serving.

> **MCP Tools:** `apply_k8s_manifest`, `get_k8s_resource`, `get_k8s_logs`, `get_k8s_rollout_status`, `describe_k8s_resource`, `list_k8s_events`. **CLI-only:** `gcloud container ai profiles *`

## When to Use

- Deploy an AI model (Llama, Gemma, Mistral, etc.) to GKE
- Generate optimized Kubernetes manifests for inference
- Select GPU/TPU accelerators for model serving
- Configure autoscaling for LLM inference

## Prerequisites

-

- 🔒 Full content on the Pro plan (€7.99/month) -
```

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Content by Doutor AI (https://doutorai.pt/en). When quoting, please cite the source: https://doutorai.pt/en/components/skills__gke-inference