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31 changes: 25 additions & 6 deletions get-started.mdx
Original file line number Diff line number Diff line change
Expand Up @@ -36,7 +36,7 @@ These instructions describe the early access version of the deployment flow. If

<Steps>
<Step title="Configure your workload">
In the **Workload** panel on the left:
In the **Workload** panel at the top of the page:

- **Template**: select the container image your Pod will run. Use the search box to find a template, or click **Explore all** to browse. The selected template and its image appear below the search bar. Click **Set overrides** to customize environment variables, exposed ports, or container start commands without editing the template itself.
- **Pod name**: a name is auto-generated. You can replace it with any name you prefer.
Expand All @@ -55,7 +55,7 @@ These instructions describe the early access version of the deployment flow. If
- **Available**: shows only GPUs with capacity right now.
- **Recommended**: shows GPUs recommended by Runpod and by the template maintainer.
- **All**: shows all GPUs, including those that are out of capacity and those marked incompatible by the template.
- **Recent**: shows all GPUs you've deployed in the last 7 days.
- **Recent**: shows all GPUs you've deployed in the last 7 days. This tab only appears if you have a recent deployment history.

Use the search box, **Network volume** filter, **Filter** button, or **Sort by** dropdown to narrow the list. Click **Compare GPUs** to ask the Runpod assistant for a comparison of the selected GPUs.

Expand Down Expand Up @@ -158,15 +158,34 @@ These instructions describe the early access version of the deployment flow. If

<Steps>
<Step title="Select a GPU">
Select a GPU from the list of graphics cards.
The deploy page opens to a grid of available GPUs. Use the controls at the top of the grid to narrow the list, then click a card to configure it.

- Use the **GPU** and **CPU** tabs at the top to switch between GPU and CPU instances.
- Filter the list with the row of toggles: **Secure Cloud**, **Network volume**, **Any region**, **Global Networking**, and **Additional filters**.
- Drag the **VRAM** slider to set a minimum amount of VRAM.
- Use the search box to find a GPU by name.
- Browse GPUs by group: Featured GPUs, NVIDIA latest generation, NVIDIA previous generation, and AMD.

Each card shows the GPU's price per hour, VRAM, maximum count, and current availability (High, Medium, Low, or Unavailable).

Click a card to select that GPU and open the Configure deployment panel below.
</Step>

<Step title="Select a template">
Select the template you want to use. To customize environment variables, exposed ports, or container start commands, click **Edit** to set template overrides.
<Step title="Configure your deployment">
After you select a GPU, the Configure deployment panel opens below the grid. Set the following:

- **Pod name**: a name is auto-generated. You can replace it with any name you prefer.
- **Pod template**: click **Edit** to modify the current template's settings, or **Change template** to swap it for a different one.
- **GPU count**: choose how many GPUs to attach, from 1 to 8.
- **Instance pricing**: choose **On-Demand** for standard pricing, or **Reserved** to reserve capacity (click **Talk to sales** to arrange a reservation).
- **Options**: enable **Encrypt volume**, **SSH terminal access**, or **Start Jupyter notebook**. Start Jupyter notebook is enabled by default.
- **Storage configuration**: set the **Container disk** size, then choose between a **Network volume** and a **Volume disk** for persistent storage.
</Step>

<Step title="Deploy">
Click **Deploy On-Demand** to deploy and start your Pod. You'll be redirected back to the Pods page after a few seconds.
You must complete the storage configuration before you can deploy. If you haven't selected persistent storage, a warning appears: "No network volume has been selected. Please select a network volume above or switch to volume disk." Select a network volume or switch to a volume disk to enable the deploy button.

Review the **Pricing summary** and **Pod summary** to confirm your configuration, then click **Deploy On-Demand** to deploy and start your Pod. You'll be redirected back to the Pods page after a few seconds.

<Note>
If you haven't set up payments yet, you'll be prompted to add a payment method and purchase credits for your account.
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