NVIDIA Base Command Manager (BCM) uses 'Categories' as the primary organizational unit for applying configurations, software images, and security policies to groups of nodes. In a heterogeneous cluster---or even a large homogeneous one---creating specific categories for different hardware generations (like DGX H100 vs. H200) is a best practice. By creating a dedicated dgx-h200 category (Option B), the administrator can apply specific kernel parameters, driver versions, and specialized software packages (like specific versions of the NVIDIA Container Toolkit or DOCA) that are optimized for the H200's HBM3e memory and Hopper architecture updates. Using a generic dgxnodes category (Option C) makes it difficult to perform rolling upgrades or test new drivers on a subset of hardware without impacting the entire cluster. Furthermore, categorizing nodes allows for more granular integration with the Slurm workload manager, enabling users to target specific hardware features via partition definitions that map directly to these BCM categories. This modular approach reduces 'configuration drift' and ensures that the AI factory remains manageable as it scales from a single POD to a multi-POD SuperPOD architecture.