Deka GPU Documentations

Starter Guide
Service Portal AI
- Introduction
- Sign Up
- Sign In
  - Sign in using Email and Password
  - Sign in using Google Account
- Sign Out
- Forgot Password
- End-User License Agreement
- Account Setting
  - Edit Profile
  - Change Password
  - Multi Factor Authentication (MFA)
  - Using MFA Google Authenticator
  - Using MFA Microsoft Authenticator
- Project
  - Add Project
  - Delete Project
- List Roles
- Broadcast
- Audit Log
- Voucher
  - Voucher Trial
  - Voucher Credit
- Security
  - AI Security AI Infrastructure Layer
  - AI Security AI Application Layer
- Ticket
  - Introduction
  - Create Ticket
  - Detail Ticket
  - Add Attachment
  - Discussion with Cloudeka Support Team
  - Rating and Comment
- Billing
  - Daily Cost Estimated
  - Monthly Cost
  - Invoice
  - Summary Monthly
- Balance
Deka GPU
Deka Guard
Deka Box
Deka LLM
Deka Notebook
Reference
Troubleshooting
- Reinstall Driver NVIDIA on Linux
- NVIDIA Driver Not Detected After Upgrade Kernel

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Deka GPU
Deka GPU: Kubernetes

Workloads

PreviousAccess Console NextPods

Last updated 7 months ago

CtrlK

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.
Deployments, for more information, you can see subsection Deployments.
DaemonSets, for more information, you can see subsection DaemonSets.
StatefulSets, for more information, you can see subsection StatefulSets.