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

# Infrastructure and Instance Types

> Understand Cloud Types and GPU instance types

This page provides an overview of the infrastructure options and GPU instance types available in AirCloud.

## Cloud Types

Choose one of the following Cloud Types based on your workload requirements.

<CardGroup cols={2}>
  <Card title="AirCloud Plus" icon="shield-check">
    Designed for workloads that require high availability, predictable performance, and production-grade reliability. Recommended for production environments.
  </Card>

  <Card title="AirCloud Zero" icon="cpu">
    Uses infrastructure contributed by individuals, PC cafés, and infrastructure partners. Ideal for cost-sensitive workloads where minimizing cost is the highest priority.
  </Card>
</CardGroup>

## Instance Types

The following GPU instance types are available with AirCloud Plus.

| GPU Model                | VRAM  | System Memory | vCPUs |
| ------------------------ | ----- | ------------- | ----- |
| NVIDIA RTX 4070 Super    | 12 GB | 9 GB          | 8     |
| NVIDIA RTX 4070 Ti Super | 16 GB | 58 GB         | 8     |
| NVIDIA RTX 4090          | 24 GB | 58 GB         | 8     |
| NVIDIA RTX 5090          | 32 GB | 58 GB         | 16    |
| NVIDIA RTX PRO 6000      | 96 GB | 58 GB         | 16    |

Long-term reservations (three months or longer) are eligible for discounted pricing. See the [Pricing page](https://www.aieev.com/pricing) for the latest rates.

### Recommended VRAM by Model Size

Choose an instance with sufficient GPU memory for your model.

| Model Size                      | Recommended VRAM | Recommended Instance        |
| ------------------------------- | ---------------- | --------------------------- |
| Up to 7B                        | 12 GB or more    | RTX 4070 Super or higher    |
| 13B                             | 16 GB or more    | RTX 4070 Ti Super or higher |
| 30B                             | 24 GB or more    | RTX 4090 or higher          |
| 70B                             | 32 GB or more    | RTX 5090 or higher          |
| Multimodal or Very Large Models | 96 GB            | RTX PRO 6000                |

## Choosing an Instance Type

Consider the following when selecting an instance type:

* Required response latency
* Model size and GPU memory requirements
* Expected request volume
* Replica strategy
* Whether Autoscaling will be enabled

## Related Documentation

<Columns cols={2}>
  <Card title="Deploy a Container" icon="container" href="/docs/air-container/deploy-a-container" cta="Deploy a Container" arrow="true">
    Learn how to deploy a container and configure its resources.
  </Card>

  <Card title="Autoscaling and Scheduled Scaling" icon="activity" href="/docs/air-container/autoscaling-and-scheduling" cta="View Guide" arrow="true">
    Learn how to configure Autoscaling and Scheduled Scaling.
  </Card>
</Columns>