> ## Documentation Index
> Fetch the complete documentation index at: https://docs.nx1cloud.com/llms.txt
> Use this file to discover all available pages before exploring further.

# View an inferencing deployment

> View an inferencing deployment to see its status, replicas, and whether it's on an LLM Router.

You can view an inferencing deployment to see whether a fine-tuned model is running and ready for requests.

## Prerequisites

Before starting this task, ensure you have the following:

* Required roles: `nx1_finetune_admin`, `nx1_finetune_user`, or `nx1_engineer`.
* A previously created inferencing deployment.

> [!NOTE]
>
> You see only the deployments you created. Users with the `nx1_finetune_admin` role see all deployments.

## View an inferencing deployment

> [tab] Web portal
>
> Perform these steps to view an inferencing deployment:
>
> 1. Log in to NexusOne.
> 2. On the top navigation bar, hover your mouse over **AI** and then select **AutoML & AutoLLM**.
> 3. Click **Fine-tune LLMs (AutoLLM)**.
> 4. Click **Inferencing**. You are going to see a table of deployments.
> 5. Find the deployment you want to view. The table has the following columns:
>
>    * **Name**
>    * **Served model**
>    * **Replicas**: Shows the running copies of the model server out of the total
>    * **On router**: Shows `yes` when the model is on an LLM Router
>    * **Status**

> [tab] REST API
>
> Use the following API endpoints to view inferencing deployments:
>
> * [Get a vLLM deployment](https://docs.nx1cloud.com/api-reference/endpoints/inferencing/get-a-vllm-deployment.md)
> * [Get K8s events for a vLLM deployment](https://docs.nx1cloud.com/api-reference/endpoints/inferencing/get-k8s-events-for-a-vllm-deployment.md)
> * [List vLLM deployments](https://docs.nx1cloud.com/api-reference/endpoints/inferencing/list-vllm-deployments.md)

## Inferencing deployment statuses

An inferencing deployment has one of the following statuses:

* `pending`: NexusOne accepted the deployment request.
* `deploying`: NexusOne is starting the model and adding it to an LLM Router.
* `active`: The model is running and ready for requests.
* `failed`: The deployment failed.
* `stopped`: You stopped the deployment, and NexusOne removed the model from the LLM Router.
* `archived`: You deleted the deployment.

## Additional resources

For a high-level overview of inferencing and how it's used in NexusOne, refer to
[Fine-tune LLM](https://docs.nx1cloud.com/documentation/ai/overview/automl/fine-tune-llm.md#inferencing).


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