# GPU Renting

Pictor Network provides an easy and cost-effective way to rent high-performance GPUs on demand. With just a few clicks, you can choose from a wide range of GPU models, configure your instance, and start running your AI and any other GPU-required workloads. The GPU Renting service is integrated directly into the Pictor App, where everything is managed in one place: from selecting the hardware to launching instances and tracking costs.

The service is organized into three main tabs within the GPU Renting sidebar on the Pictor App: **Instances, Marketplace, and Billing**.

***

## Instances

The **Instances tab** is where you manage all of your rented machines efficiently. 

<figure><img src="/files/8GHtbXJzRUKNaclpmNEs" alt=""><figcaption></figcaption></figure>

You can view instance details:

* Instance name and ID
* Status (Starting, Running, Paused, etc.)
* GPU (Model, GPU Count, VRAM)
* GPU (Cores)
* RAM
* Storage
* Location
* Prices (Hourly Rate)
* Duration (how long the instance has been created)
* Remaining Time

And control your machine directly with multiple Action buttons, such as Stop/Start Instance, Connect Instance, Extend Time, Renew Instance, or Delete Instance.

#### Managing SSH Keys

To connect to your Linux Ubuntu instances, you will need to add your SSH keys.&#x20;

Clicking **Manage SSH Keys** button opens the key management tab.

<figure><img src="/files/24LzCvBxY8mYA1PLp2fa" alt=""><figcaption></figcaption></figure>

* Add new SSH keys
* View existing keys
* Edit or delete saved keys
* Track how many machines are linked to each key

## Marketplace

The **Marketplace tab** lists all available GPU types supported by Pictor Network. This is where you can browse, filter, and search for the right GPU configuration for your workload.

**List of GPU Support**

<figure><img src="/files/Bbi1rLP52LfFjSfjIWUi" alt=""><figcaption></figcaption></figure>

* **Filter** GPU count, Storage, or Region, Operating systems, or **Search** for a GPU
* **GPU listings** include:
  * GPU model
  * Price per hour
  * VRAM, RAM, CPU specs

**Rental Settings**

Once you’ve selected a GPU, you move to the **Rental Settings** section.&#x20;

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

Here you configure:

* Instance name
* Choose template (e.g., Ubuntu 22.04 VM)
* Rental duration (hour-based, with auto-renewal option)
* SSH key configuration

The right-hand panel shows a summary of your selection: GPU details, pricing, and your available credit balance.

## Billing

The **Billing tab** keeps track of all transactions associated with your GPU renting activity.

<figure><img src="/files/uG6gcuW4bcqjqMZ4X8Ts" alt=""><figcaption></figcaption></figure>

You can see:

* **Date & time** of each transaction
* **Amount** (credits spent or refunded)
* **Description** (storage charges, rental charges, refunds)
* **Transaction hash** (on-chain reference)
* **Status** (confirmed on-chain, e.g., SUCCESS)

Each **transaction hash** is clickable. When clicked, it takes you directly to **AptosScan**, where you can view full details of the transaction on the Aptos blockchain.

***

Pictor Network’s GPU Renting service combines flexibility, transparency, and powerful compute access in one streamlined app. Whether you need a single GPU for testing or multiple high-end GPUs for production workloads, the intuitive UI makes it simple to deploy, manage, and monitor everything from one dashboard.

For more information, refer to [GPU Renting](https://docs.pictor.network/docs/services/gpu-renting) and [GPU Renting Get Started](https://docs.pictor.network/docs/services/gpu-renting/get-started) for a detailed guide.&#x20;


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