> For the complete documentation index, see [llms.txt](https://docs.sesterce.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.sesterce.com/compute-instances.md).

# Compute instances

## How to display GPUs available?

On the Compute page, you'll find a list of all our available instances, sorted by model and number of GPUs. Filters are available to help you find the right offer for your needs: [**read this tutorial to know which offer you should choose according to your workload and use case!**](/tutorials/which-compute-instance-for-ai-models-training-and-inference.md)

<figure><img src="/files/Iz1gNwy9UKrrLzuVcTtq" alt=""><figcaption></figcaption></figure>

## Pods characteristics

<table><thead><tr><th width="263">Characteristics</th><th>Definition</th></tr></thead><tbody><tr><td>vRAM</td><td>Virtual Random Access Memory: The amount of memory allocated to a virtual machine for its operations, functioning similarly to physical RAM in a physical machine.</td></tr><tr><td>Memory in GB</td><td>The total amount of memory available for use in a system, typically measured in gigabytes (GB), which can be used for running applications and processes.</td></tr><tr><td>vCPU</td><td>Virtual Central Processing Unit: An abstraction of physical CPU cores, allocated to virtual machines to handle computational tasks.</td></tr><tr><td>Storage</td><td>The space available for storing data, applications, and system files, measured in gigabytes (GB) or terabytes (TB).</td></tr><tr><td>NVLink</td><td><p>A high-speed interconnect technology developed by NVIDIA to enable fast communication between GPUs, and between GPUs and CPUs, for improved performance and efficiency in </p><p>computational tasks.</p></td></tr></tbody></table>

<details>

<summary>⚠️ The Storage of your Pod is non persistent. </summary>

It means that it will only host your data during the instance. Then, if you haven't subscribed to a volume, your dataset will be deleted. Learn [**how to get a volume in Sesterce Cloud!**](#how-to-get-a-volume)

</details>

## How to select my Pod?

Through “GPU” and “Specs” tabs, you can display information corresponding to each Pod. Please find above the corresponding definitions. Then, you can click “launch”!

## I need a persistent storage!

If you need a persistent storage to store your dataset at the end of your instance, you can thick the appropriate checkbox to display only Pods for which the persistent storage is available.

<figure><img src="/files/7xM9EopcijOEyqvmlvVp" alt=""><figcaption></figcaption></figure>

<details>

<summary>Please consider those rules for Volumes management. <a href="/pages/DanaahABEKYGhBuMui5q">See dedicated documentation here. </a></summary>

* Volumes should be hosted **in the same Cloud** and **region** as Pod selected
* Once created, volume size can be increased but not decreased, to preserve your data
* A single volume can contain several datasets, but **it is not possible to link a single Pod with more than one Volume**.
* It is **not possible** to link a persistent storage to an instance **already created**.

</details>

{% hint style="success" %}
According to the Pod you'll choose, you will have the possibility to create a volume directly from the launching path, hosted in the appropriate cloud & region.
{% endhint %}