# Workloads On the Workloads page of the Deka GPU Service Portal is used to create, and manage information on Pod, Deployment, DaemonSets, and StatefulSets that are running in cluster Kubernetes. To access Workloads page in the Deka GPU Service Portal, select the Kubernetes module, and choose the Workloads menu.

On the Workloads page, there are four tabs available, as detailed below. * Pods, for more information, you can see subsection [Pods](/deka-gpu/deka-gpu-kubernetes/workloads/pods.md). * Deployments, for more information, you can see subsection [Deployments](/deka-gpu/deka-gpu-kubernetes/workloads/deployments.md). * DaemonSets, for more information, you can see subsection [DaemonSets](/deka-gpu/deka-gpu-kubernetes/workloads/daemonsets.md). * StatefulSets, for more information, you can see subsection [StatefulSets](/deka-gpu/deka-gpu-kubernetes/workloads/statefulsets.md). --- # 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://docs.cloudeka.ai/deka-gpu/deka-gpu-kubernetes/workloads.md?ask= ``` 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.