> For the complete documentation index, see [llms.txt](https://docs.cloudeka.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cloudeka.ai/guideline-for-enterprise/deka-gpu-mlops/introduction.md).
# Introduction
## Sign In
If you already have an account on the Cloudeka Deka MLOps Service Portal, access the portal [**Deka MLOps**](https://mlops.cloudeka.ai/) through your browser. The Sign In page will appear. Enter your Email Address and Password, then click the **Sign In** button.
If you successfully sign in to the Cloudeka Deka MLOps Service Portal, you will be directed to the Home page.
On each account, you can have multiple namespaces with resources that have been allocated according to the agreement. You can view them in the Namespace List.
The Namespace List displays all namespaces available in your account. Select a namespace to access and manage its associated resources.
## Sign Out
When you have finished using the Cloudeka Deka MLOps Service Portal, you can sign out by clicking the **Logout** button.
You will then be redirected to the Cloudeka Deka MLOps Service Portal Sign In page.
