> For the complete documentation index, see [llms.txt](https://docs.arkain.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.arkain.io/user-guide/dashboard/container/nvidia-tesla-t4-gpu-container.md).

# NVIDIA Tesla T4 GPU Container

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**Access Restriction:** Creating or running NVIDIA Tesla T4 GPU containers is available exclusively to *Membership* users.
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**NVIDIA Tesla T4** GPU resources can be paired with **Arkain** to create containers that can perform tasks that require high-performance computing, such as deep learning.

### GPU Container Specification

<table><thead><tr><th width="243">Type</th><th align="center">Specification</th></tr></thead><tbody><tr><td>vCPU</td><td align="center">3.5</td></tr><tr><td>Memory</td><td align="center">13GB</td></tr></tbody></table>

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Using advanced feature like **Code Supporter** on a GPU container will reduce your allocated GPU compute and memory resources. This does not incur an additional credit charge.
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<figure><img src="/files/MWlAPRtylzdGxKi3gWhT" alt=""><figcaption></figcaption></figure>

### **GPU Storage Billing Policy**

* GPU containers are created with **30GB of storage by default.** If you want more storage, you can upgrade and use it.
* **Membership Plan:** **Up to 15GB** **can be used for free.**
* Additional storage will be charged in credits based on usage.

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For more information about pricing and container performance, refer to the [Container Performance](/user-guide/dashboard/container/container-performance.md) document.
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### Create a GPU Container

To create a GPU container, select \[**NVIDIA Tesla T4]** as the base template when creating the container. The creation time for GPU containers can be longer than for regular containers.