Validated Patterns

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:

Table 1. Hub cluster minimum requirements
Cloud ProviderNode TypeNumber of nodesInstance 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.

Table 2. GPU node minimum requirements
Cloud providerNode typeNumber of nodesInstance type

Amazon Web Services

GPU Worker

1

g5.2xlarge