add notes to GPU tutorial

Author: jordanstephens

docs/tutorials/deploy-with-gpu.mdx

@@ -7,10 +7,18 @@ sidebar_position: 500
 
 This tutorial guides you to create and deploy a GPU-powered application on AWS using Defang and Mistral. We will walk you through the whole deployment process based on this [Deploying Mistral with vLLM](https://github.com/DefangLabs/samples/tree/main/samples/vllm) sample.
 
+:::info
+Note that GPU deployments are not permitted on the Defang Playground. You must [upgrade to a paid account](https://defang.io/pricing/) and [deploy to your own cloud account](https://docs.defang.io/docs/tutorials/deploy-to-your-cloud).
+:::
+
 <iframe width="560" height="315" src="https://www.youtube.com/embed/kynFa2zU7hQ?si=qdV0xa6vkhMFJ6qv" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
 
 ## Prerequisites
 
+* [A Defang Account](/docs/concepts/authentication)
+* [The Defang CLI](/docs/getting-started#install-the-defang-cli)
+* [AWS Account Credentials](https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-authentication.html)
+
 ### AWS Account with GPU Access
 
 For any of this to work, you'll need to have access to GPU instances in your AWS account. To do that you'll need to go to the "[Service Quotas](https://console.aws.amazon.com/servicequotas/home)" console in your AWS account. From there you can request access to spot GPU instances. You'll need to request 8 or more because the value is per vCPU and the smallest GPU instance has 8 vCPUs. The instance types you're requesting are "All G and VT spot instances".