# Deploy applications

**Step 1:** Check the GPU configuration using the following command:

kubectl get nodes -o json | jq '.items\[].metadata.labels'

Example: The image below shows a worker using Metal Cloud GPU H100, with the strategy configuration: all-disable, status: success.

![](/files/d91fa8b65bb165cd23b7cc1f057eb363efc014de)

**Step 2:** Check the GPU instance configuration on the worker by SSHing into the node and typing the following command:

Nvidia-smi

The example below shows that the GPU driver has been successfully installed and is running with 8 GPUs in None mode.

![](/files/d49f1793600f10c8e936e8e9a33798bce5359981)

**👉 Example of deploying an application using the GPU:**

```
#Syntax:  
nvidia.com/gpu: <number-of-GPUs> 
#Example:  
nvidia.com/gpu: 1 
 
#Example deployment using GPU 
apiVersion: apps/v1 
kind: Deployment 
metadata: 
  name: example-gpu-app 
spec: 
  replicas: 1 
  selector: 
    matchLabels: 
      component: gpu-app 
  template: 
    metadata: 
      labels: 
        component: gpu-app 
    spec: 
      containers: 
        - name: gpu-container 
          securityContext: 
            capabilities: 
              add: 
                - SYS_ADMIN 
          resources: 
            limits: 
              nvidia.com/gpu: 1 
          image: nvidia/samples:dcgmproftester-2.0.10-cuda11.0-ubuntu18.04 
          command: ["/bin/sh", "-c"] 
          args: 
            - while true; do /usr/bin/dcgmproftester11 --no-dcgm-validation -t 1004 -d 300; sleep 30; 
```


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://ai-docs.fptcloud.com/fpt-gpu-cloud/gpu-cluster/managed-k8s-with-metal-cloud/tutorial/deploy-applications.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.