# Quick Start

## Sign up for an account <a href="#gettingstarted-signupforanaccount" id="gettingstarted-signupforanaccount"></a>

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### Create an FPT Cloud account

* Go to <https://fptcloud.com/>, click **Sign Up**, and follow the system instructions to enter your details.
* Our support team will contact you shortly to verify your information and activate your account.
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### Log in to the FPT Portal

* Go to [https://console.fptcloud.com](https://console.fptcloud.com/) or <https://console.fptcloud.jp> and sign in with your **FPT Cloud account and password**, depending on where your quota has been provisioned. Make sure to select the correct **Tenant and Region**.
* **Set up an SSH key:** Navigate to **SSH Management** to generate an SSH key. This key will be used for secure access to your servers.
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## Step-by-step <a href="#gettingstarted-step-by-step" id="gettingstarted-step-by-step"></a>

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### Create a Subnet

A subnet is required before deploying your GPU VM.

1. In the left-side menu, go to **Network → Subnets**.
2. Click **Create Subnet** and complete the configuration.

Follow the detailed guide [here](https://ai-docs.fptcloud.com/ai-infastructure/gpu-virtual-machine/tutorials/how-to-create-a-subnet).
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### Create a GPU VM

1. In the side menu, go to **Compute Engine** → **Instance Management**.
2. Click **Create Instance** and configure the virtual machine deployment.
   * **Choose the instance type**: **H100** instances are available on the **.com** site and **H200** instances are available on the **.jp** site.
   * **Select a disk type**: \
     **Ephemeral Disk (NVMe)** – The storage disk is bundled with the instance and cannot be resized.\
     **Persistent Disk (Block Storage SSD)** – A storage disk is required, with a minimum size of **100 GB**.

Follow the detailed guide [here](https://ai-docs.fptcloud.com/ai-infastructure/gpu-virtual-machine/tutorials/how-to-create-a-gpu-vm).
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### **Allocate a public IP address (Floating IP)**

1. In the left-side menu, go to **Network → Floating IPs**.
2. Click **Allocate IP Address** and assign the IP to your VM.\
   \&#xNAN;**\* Ephemeral Disk (NVMe):** Use **port forwarding (NAT)**&#x74;o connect the floating IP with the VM. You’ll need to specify both **the** **IP port** and **the Instance port.**

Follow the detailed guide [here](https://ai-docs.fptcloud.com/ai-infastructure/gpu-virtual-machine/tutorials/how-to-manage-floating-ips).
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### Create Security Group

By default, the Default **Security Group allows all outbound traffics. You have to create a new one to allow inbound rules to access the VM.**

1. Click on **Network** and select **Security Groups** in the Side menu.
2. Choose **Create Security Group** in the Security Groups Screen and define the inbound rules for VM (e.g., **Allow SSH access on port 22** from your client’s public IP)

Follow the detailed guide [here](https://ai-docs.fptcloud.com/ai-infastructure/gpu-virtual-machine/tutorials/how-to-manage-security-group).
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### Access to GPU Virtual Machine

After successfully creating the GPU VM, you can access the server via SSH:

1. **Terminal:** Open your terminal and enter the command with your SSH key.
2. **Web Console**: Go to the server’s detail page and click **“Open at Console”** to log in with a password through the web console.

\*The default username is **`root` .**

Follow the detailed guide [here](https://ai-docs.fptcloud.com/ai-infastructure/gpu-virtual-machine/tutorials/how-to-access-a-gpu-vm)[.](https://wiki.fci.vn/display/NCPP/GPU+VM+Access+to+GPU+instances)
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