Scaling Regulated AI with Domino on Amazon FSx for NetApp ONTAP

This article explains how Domino Data Lab uses Amazon FSx for NetApp ONTAP to build scalable, governed AI platforms for regulated organizations.

• Keep compute close to governed data using hybrid architectures with replication and caching policies
• Preserve reproducible data states through point-in-time snapshots paired with project context for audit trails
• Scale workloads using space-efficient writable clones and multiprotocol access without full dataset copies
• Domino Cloud on FSx for ONTAP achieved 417% faster write speeds and 94% faster read speeds
• Novartis and Merck deployed hundreds of volumes across multiple file systems for clinical workflows
• Measure success with workload-level metrics: provisioning time, storage consumption, job runtime, and data transfer costs

FSx for NetApp ONTAP provides the storage governance layer that enables regulated AI to remain controlled, reproducible, and efficient at enterprise scale.