# Container Performance

## Container Performance

You can efficiently use Credits by adjusting the performance of the container based on your needs and usage purposes.

The number of Credits deducted during container usage varies depending on the performance, storage, traffic, and the advanced feature usage.

{% hint style="info" %}
**Access Restriction:** Creating or running NVIDIA Tesla T4 GPU containers and XLarge containers is available exclusively to *Membership* users.
{% endhint %}

<table><thead><tr><th width="162">Performance</th><th width="279">Specification</th><th width="154">Credits per hour</th><th>Price</th></tr></thead><tbody><tr><td>Micro</td><td>0.5 vCPU, 1GB Memory</td><td>1.96</td><td>$0.0392</td></tr><tr><td>Small</td><td>1 vCPU, 4GB Memory</td><td>6.80</td><td>$0.1360</td></tr><tr><td>Medium</td><td>2 vCPU, 8GB Memory</td><td>13.60</td><td>$0.2720</td></tr><tr><td>Large</td><td>4 vCPU, 16GB Memory</td><td>27.20</td><td>$0.5440</td></tr><tr><td>XLarge</td><td>8 vCPU, 32GB Memory</td><td>54.40</td><td>$1.0880</td></tr><tr><td><a href="/pages/wyK1FDt0l0StWKDBdQ2F">GPU Basic </a>(NVIDIA Tesla T4)</td><td>3.5 vCPU, 13GB Memory</td><td>51.76</td><td>$1.0352</td></tr><tr><td><a href="/pages/gyJDFvtPNjLDEZ6evMdG">Code Supporter</a> (Advanced)</td><td>0.5 vCPU, 1GB Memory</td><td>1.96</td><td>$0.0392</td></tr></tbody></table>

{% hint style="warning" %}
The cost for using the advanced features such as **AI Supporter and Code Supporter** is added to your container cost. However, when using a GPU container, there is no additional charge for these features; instead, your allocated **GPU compute and memory resources** will be reduced.
{% endhint %}

{% hint style="info" %}
1 credit is priced at approximately $0.02. For detailed information, refer to [this](/credits-and-membership/credits.md) documentation.
{% endhint %}

## Setting Container Performance <a href="#setting-container-specifications" id="setting-container-specifications"></a>

You can set the performance of the container when you create it, based on your requirements. Similarly, when creating a container through **Templates**, you can set the container performance.

Additionally, you can modify the performance of an existing container on the **Container Settings page** at any time, depending on your needs and purposes.

{% hint style="warning" %}
To ensure infrastructure stability, processes or containers **exceeding their allocated resource limits** may be **automatically terminated** to protect system performance.
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