Home > AI Solutions > Artificial Intelligence > White Papers > Model Customization for Code Creation with Red Hat OpenShift AI on Dell AI Optimized Infrastructure > Hardware design
The testing of the solution in this paper focused on the distributed training across GPUs and do performance and scalability testing was performed. The following table contains the equipment used. As an alternative for control nodes, Dell PowerEdge R660 servers based on Intel Xeon CPUs Intel-CPUs can be used.
Node Type | Model | CPU | RAM | GPUs |
OpenShift Control Nodes | 3 x R6625 | 2 x AMD EPYC 9354 32 Cores | 768 GB | 0 |
OpenShift Inferencing Workers | 2 x R760xa | 2 x Intel Xeon Gold 6454S 32 Cores | 512 GB | 4 x NVIDIA |
OpenShift Training Worker | 1 x XE9680 | 2 x Intel Xeon Platinum 8470 52 Cores | 2048 GB | 8 x NVIDIA |