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velredhat
Cadet
Cadet
  • 82 Views

Clarification on Costs During Red Hat Developer Sandbox 30-Day Trial for OpenShift AI

Hello Red Hat Community,

I am currently exploring OpenShift AI and came across the Red Hat Developer Sandbox, which mentions a 30‑day trial period to experiment with various OpenShift AI features, tools, and tutorials.

My question is specifically about the cost implications during this trial:

  • Is the sandbox environment completely free to use for the entire 30‑day period?
  • If I train, deploy, and run AI/ML models (e.g., using Jupyter notebooks, pipelines, or model serving), will there be any cloud infrastructure charges or hidden costs associated with compute, storage, or networking?
  • In short, does the trial cover all resource usage, or should I expect additional billing if I run workloads beyond a certain threshold?

I’d appreciate clarification from the community or Red Hat team members who have experience with the sandbox. Understanding this will help me plan my hands‑on learning and avoid unexpected charges while experimenting with OpenShift AI.

Thank you in advance!

1 Reply
Chetan_Tiwary_
Community Manager
Community Manager
  • 45 Views

@velredhat yes sandbox is completely free for 30 days.

There are no hidden charges but Red Hat Developer Sandbox comes with a limited set of resources, in particular it includes one project (namespace) and a resource quota of 3 cores, 14 GB RAM, and 40 GB storage per user. We should then think about resource consumption if we want to experiment with every feature of OpenShift AI.

It's important to remember that this sandbox environment operates under certain thresholds. Specifically, resource quotas are applied to limit the available cores, RAM, and storage, and there is also a time limit placed on the pods. This design makes the sandbox ideal for light to moderate experimentation and learning, such as testing concepts or practicing skills. However, these limits mean the environment is NOT suitable for heavy-duty, production-scale tasks like training large models or serving high-traffic applications.

https://developers.redhat.com/blog/2024/05/29/red-hat-developer-sandbox-your-free-openshift-ai-playg... 

 

https://developers.redhat.com/learning/learn%3Aopenshift%3Afoundations-openshift/resource/resources%... 

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