Domino Data Lab, an AWS Partner offering the Domino Enterprise AI Platform in AWS Marketplace, uses Amazon FSx for NetApp ONTAP as its shared storage layer in an architecture for scaling regulated AI, according to a post by Semion Mazor and Alon Goldin of NetApp, Vaibhav Dhawan of Domino Data Lab, and Ben Lin of AWS. The post states that as AI scales from pilots to enterprise production, data architecture rather than the model becomes the critical governance layer, and that reliable AI in regulated environments depends on controlling data location, access, and the state behind each run. Regulated organizations face requirements for data access, retention, traceability, and transfer, including electronic-record rules for FDA-regulated clinical investigations and GDPR requirements for personal-data transfers. Under the AWS Shared Responsibility Model, AWS is responsible for security of the cloud, while customers are responsible for security in the cloud, including configuring and operating controls for their data and workloads. The post shares three principles: keep compute close to governed data, preserve reproducible data states, and scale workloads without full dataset copies. It notes that a single location for every dataset is often impractical because data-residency requirements can keep the authoritative copy in a particular AWS Region or on premises, and transfer time and network costs limit movement.