> ## Documentation Index
> Fetch the complete documentation index at: https://docs.gmicloud.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Quick Start

> Get up and running with GMI Cloud in three steps.

<Steps>
  <Step title="Create an account and get your API key">
    Sign in to the [GMI Cloud Console](https://console.gmicloud.ai). Go to **Settings → API Keys** and create a new key. Copy it — you'll use it in the next step.
  </Step>

  <Step title="Make your first inference call">
    GMI's inference API is OpenAI-compatible. Swap in your API key and endpoint:

    <CodeGroup>
      ```python Python theme={null}
      from openai import OpenAI

      client = OpenAI(
          base_url="https://api.gmi-serving.com/v1",
          api_key="YOUR_GMI_API_KEY",
      )

      response = client.chat.completions.create(
          model="meta-llama/Llama-3.3-70B-Instruct",
          messages=[{"role": "user", "content": "Hello, what can you do?"}],
      )

      print(response.choices[0].message.content)
      ```

      ```bash cURL theme={null}
      curl https://api.gmi-serving.com/v1/chat/completions \
        -H "Authorization: Bearer YOUR_GMI_API_KEY" \
        -H "Content-Type: application/json" \
        -d '{
          "model": "meta-llama/Llama-3.3-70B-Instruct",
          "messages": [{"role": "user", "content": "Hello, what can you do?"}]
        }'
      ```
    </CodeGroup>
  </Step>

  <Step title="Explore what's next">
    Pick where to go based on your use case:

    * [Browse the model catalog](/model-quickstarts/text/overview) — text, image, video, and audio models
    * [Set up a dedicated endpoint](/inference-engine/ie-intro) — reserve capacity for production
    * [Provision GPU compute](/cluster-engine) — managed clusters and bare-metal for training
  </Step>
</Steps>

## Go deeper

<CardGroup cols={3}>
  <Card title="Browse models" icon="list" href="/model-quickstarts/text/overview">
    Text, image, video, and audio models available on GMI.
  </Card>

  <Card title="Dedicated endpoints" icon="server" href="/inference-engine/ie-intro">
    Reserve capacity for production workloads.
  </Card>

  <Card title="GPU Compute" icon="microchip" href="/cluster-engine">
    Managed clusters and bare-metal for training and fine-tuning.
  </Card>

  <Card title="GMI Studio" icon="diagram-project" href="/gmi-studio/gmi-studio-user-manual/introduction">
    Build multi-step AI pipelines visually.
  </Card>

  <Card title="API Reference" icon="code" href="/api-reference/introduction">
    Full REST API docs for all GMI services.
  </Card>

  <Card title="Agent Frameworks" icon="puzzle-piece" href="/agents/set-up-hermes-agent-with-gmi-cloud">
    Plug GMI into Hermes, Dify, and OpenClaw.
  </Card>
</CardGroup>