> For the complete documentation index, see [llms.txt](https://ai-docs.fptcloud.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ai-docs.fptcloud.com/fpt-gpu-cloud/gpu-container/quickstart.md).
# Quickstart
## Sign Up for an Account
### Step 1: Create an account
1. Go to , sign up for an FPT ID account or continue with your Google account.
2. Verify your account by checking your email for instructions from FPT Smart Cloud () if you sign up with your FPT ID account.
### Step 2: Go back to and log in your new account (If you use FPT ID)
[](https://fptcloud.com/wp-content/uploads/2025/07/Screenshot-2025-07-04-175942.png)
## Step-by-step
After logging in to the FPT AI Factory portal at ai.fptcloud.com, follow the instructions below:
### Step 1: Add credit to account
1. Navigate to section ACCOUNT and click Billing
2. Click Add Credit button and enter an amount and payment information to complete.
Or, you have a voucher from FPT, apply your valid code in Add Voucher section to redeem credits
### Step 2: Create a container
1. Select GPU Container in the Side menu.
2. Click button **Create New GPU Container** and configure the Container deployment.
3. Follow the detailed guide [here](/fpt-gpu-cloud/gpu-container/tutorials/how-to-create-a-container.md).
### Step 3: Connect to container
1. In the Container list page, click container name to access container details screen.
2. Depends on your configurations in Access container section, choose one of the methods to connect: HTTP Endpoint, Connect SSH via Terminal
3. Follow the detailed guide [here](/fpt-gpu-cloud/gpu-container/tutorials/how-to-access-to-a-container.md)
### Step 4: Stop the container
To avoid incurring unnecessary charges, make sure to:
1. Return to the list container page.
2. Click the Stop button in the Actions column to stop your container.
3. Confirm by clicking "Confirm".
To delete your container permanently, follow the detailed guide [here](/fpt-gpu-cloud/gpu-container/tutorials/how-to-manage-container.md#stop-container).
---
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