# Getting started

### Step 1: Access the Dedicated Endpoint Creation Page

1. Log into your Segmind account.
2. From the left sidebar on [console](https://cloud.segmind.com/console/dashboard), click on **Endpoints**.
3. Click on **New Endpoint** to begin creating a dedicated endpoint.

<figure><img src="https://1074585346-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fu6dQqQJaio4OZqiMWnkH%2Fuploads%2FfYKTqczZ2vEQmJjOBjOC%2FScreenshot%20from%202024-10-07%2013-24-28.png?alt=media&#x26;token=7cf6c893-f874-4309-a11c-280361be8ed0" alt=""><figcaption></figcaption></figure>

### Step 2: Choose Your Model

1. In the **Create a new dedicated endpoint** section, you will see a **Choose your model** dropdown.
2. Select the model you wish to use. You can find models under **Public Models** or **Your Models**. For this example, we'll select the **Simple Vector Flux** model.

<figure><img src="https://1074585346-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fu6dQqQJaio4OZqiMWnkH%2Fuploads%2FuNfERkdxDZKie8gsAZPT%2FScreenshot%20from%202024-10-07%2013-24-47.png?alt=media&#x26;token=1a164c9b-f406-4ba7-a280-3da9326ca66c" alt=""><figcaption></figcaption></figure>

### Step 3: Configure the Endpoint

1. In the **Configuration** section, fill in the following details:
   * **Custom Endpoint URL**: Enter a unique name for your endpoint, e.g., `endpoint1`.
   * **Instance Type**: Choose your preferred GPU type (e.g., L40, H100, A40, A100).
   * **Active GPU**: Specify the number of active GPUs you want to use (e.g., 2).
   * **Passive GPU**: Enter the number of passive GPUs (e.g., 4).

<figure><img src="https://1074585346-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fu6dQqQJaio4OZqiMWnkH%2Fuploads%2FEOmyzVU2F1yu8z8aVIKf%2FScreenshot%20from%202024-10-07%2013-25-38.png?alt=media&#x26;token=e7771ba1-ca33-4659-b080-d25f251d3357" alt=""><figcaption></figcaption></figure>

1. Select the **Scale Type**:

### Step 4: Review Instance Type

1. Review the instance type information on the right-hand side to confirm your selections. It displays the GPU type, CPU count, RAM, and pricing details.
2. Ensure the settings align with your requirements.

### Step 5: Launch the Instance

1. Once you have completed the configuration and reviewed your choices, click on the **Launch Instance** button at the bottom to create the endpoint.

### Step 6: Manage Your Endpoints

1. After launching, you will be redirected to the **Dedicated Endpoints** page.
2. Here, you can view and manage your created endpoints. You will see options to start, stop, or delete endpoints as needed.
3. Click on usage button to see the usage for your endpoint by different granularity.
