> ## Documentation Index
> Fetch the complete documentation index at: https://smallestai-ff1e543d.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Software Requirements

> Tools and software for Kubernetes STT deployment

## Required Tools

Install the following tools on your local machine.

### Helm

Helm 3.0 or higher is required.

<Tabs>
  <Tab title="macOS">
    ```bash theme={null}
    brew install helm
    ```
  </Tab>

  <Tab title="Linux">
    ```bash theme={null}
    curl https://raw.githubusercontent.com/helm/helm/main/scripts/get-helm-3 | bash
    ```
  </Tab>

  <Tab title="Windows">
    ```powershell theme={null}
    choco install kubernetes-helm
    ```
  </Tab>
</Tabs>

Verify installation:

```bash theme={null}
helm version
```

### kubectl

Kubernetes CLI tool for cluster management.

<Tabs>
  <Tab title="macOS">
    ```bash theme={null}
    brew install kubectl
    ```
  </Tab>

  <Tab title="Linux">
    ```bash theme={null}
    curl -LO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl"
    chmod +x kubectl
    sudo mv kubectl /usr/local/bin/
    ```
  </Tab>

  <Tab title="Windows">
    ```powershell theme={null}
    choco install kubernetes-cli
    ```
  </Tab>
</Tabs>

Verify installation:

```bash theme={null}
kubectl version --client
```

## Cluster Access

### Configure kubectl

Ensure kubectl is configured to access your cluster:

```bash theme={null}
kubectl cluster-info
kubectl get nodes
```

Expected output should show your cluster nodes.

### Test Cluster Access

Verify you have sufficient permissions:

```bash theme={null}
kubectl auth can-i create deployments
kubectl auth can-i create services
kubectl auth can-i create secrets
```

All should return `yes`.

## GPU Support

### NVIDIA GPU Operator

For Kubernetes clusters, install the NVIDIA GPU Operator to manage GPU resources.

<Note>
  The Smallest Self-Host Helm chart includes the GPU Operator as an optional dependency. You can enable it during installation or install it separately.
</Note>

#### Verify GPU Nodes

Check that GPU nodes are properly labeled:

```bash theme={null}
kubectl get nodes -l node.kubernetes.io/instance-type
```

Verify GPU resources are available:

```bash theme={null}
kubectl get nodes -o json | jq '.items[].status.capacity'
```

Look for `nvidia.com/gpu` in the capacity.

## Optional Components

### Prometheus & Grafana

For monitoring and autoscaling based on custom metrics:

* **Prometheus Operator** (included in chart)
* **Grafana** (included in chart)
* **Prometheus Adapter** (included in chart)

These are required for:

* Custom metrics-based autoscaling
* Advanced monitoring dashboards
* Performance visualization

### Cluster Autoscaler

For automatic node scaling on AWS EKS:

* IAM role with autoscaling permissions
* IRSA (IAM Roles for Service Accounts) configured

<Tip>
  See the [Cluster Autoscaler](/v4.0.0/content/on-prem/kubernetes/autoscaling/cluster-autoscaler) guide for setup.
</Tip>