The FedRAMP Class D certification will enable US government and public sector organizations to run regulated Oracle AI Database workloads on Oracle Exadata Database Service using Dedicated Exadata Infrastructure within AWS GovCloud (US), Microsoft Azure Government, and Google Cloud Assured Workloads.

Oracle frames the initiative as a clear path to cloud adoption for government workloads, preserving architectural consistency with existing Oracle AI Database deployments while expanding AI-enabled capabilities for public sector services.

Certification across cloud partners aims to streamline authorization and risk management by leveraging existing FedRAMP packages, allowing data to stay within FedRAMP Class D Certified Services.

Oracle’s multicloud strategy enables migrating on-premises Oracle databases to preferred cloud environments with minimal application changes, blending Exadata performance with the AI services of the chosen cloud provider.

Running Oracle databases on Dedicated Exadata Infrastructure within preferred cloud environments brings data close to applications and AI services, minimizing latency and avoiding the need to manage separate environments or billing accounts.

The multicloud approach facilitates on-premises to cloud migration with minimal application changes, delivering Exadata performance alongside cloud-provided AI capabilities.

Customers can buy Oracle AI Database via AWS Marketplace, Azure Marketplace, and Google Cloud Marketplace or through qualified channel partners, simplifying procurement and supporting existing cloud investments and Oracle license benefits.

Purchases of Oracle AI Database across AWS, Azure, and Google Cloud will also be available through cloud marketplaces or qualified channel partners, aiding procurement, support, and optimization of current cloud investments and Oracle licensing.

Executives emphasized that government and public sector entities face tight compliance hurdles, and the multicloud AI Database strategy is designed to remove these barriers and speed modernization of mission-critical applications.

Key features include running Oracle data on Dedicated Exadata Infrastructure within trusted cloud environments, providing low-latency access to live data for AI workloads, and enabling governance aligned with FedRAMP requirements.