Lemonade Stand AI Quickstart pattern hub/datacenter cluster size
The Lemonade Stand AI Quickstart pattern has been tested with a defined set of specifically tested configurations that represent the most common combinations that Red Hat OpenShift Container Platform customers are using or deploying for the x86_64 architecture.
The datacenter hub OpenShift cluster uses the following the deployment configuration:
| Cloud Provider | Node Type | Number of nodes | Instance Type |
|---|---|---|---|
Amazon Web Services | Control Plane | 3 | m5.xlarge |
Amazon Web Services | Worker | 3 | m5.4xlarge |
GPU node requirements
In addition to the worker nodes listed above, this pattern requires at least 1 GPU-equipped node for LLM inference. On AWS, the pattern automatically provisions a g5.2xlarge instance with an NVIDIA A10G GPU. On other providers and bare metal, ensure a GPU node is part of the cluster before you deploy the pattern.
| Cloud provider | Node type | Number of nodes | Instance type |
|---|---|---|---|
Amazon Web Services | GPU Worker | 1 | g5.2xlarge |
