Autonomous AI Database on Dedicated Infrastructure
Build scalable, AI-driven applications with uncompromising data sovereignty. Leverage built-in AI capabilities and your choice of large language models and deploy on physically isolated, dedicated infrastructure to ensure absolute privacy, regulatory compliance, and predictable performance.
The Business Value of Autonomous AI Database
Companies using Oracle Autonomous AI Database gain benefits worth an average of $4.9 million per organization annually and realize a three-year ROI of 436%, says IDC.
Pricing
Autonomous AI Database has built-in hardware redundancy, high-speed RDMA networking, and high-bandwidth IOPS. It has a 99.995% uptime SLA enabling DR. These capabilities generally come with added cost in other cloud provider database services.
Discover how Oracle Autonomous Database on Dedicated Infrastructure achieves an industry-leading 99.995% availability SLA, delivering less than about two minutes of downtime per month while covering both planned and unplanned outages.
Learn how Oracle Autonomous AI Database on Dedicated Exadata Infrastructure provides complete isolation and operational control with dedicated system resources.
With Oracle Autonomous Data Guard, enterprises can now deploy high-availability and disaster recovery (HA/DR) across both Oracle Cloud Infrastructure (OCI) and Amazon Web Services (AWS).
Key features of Autonomous AI Database on Dedicated Infrastructure
Autonomous Management
The complexity of operating and securing Oracle Database is eliminated by automating tasks such as provisioning, configuring, securing, tuning, and scaling. This reduces the risk of human error by replacing manual administration with AI–driven automation.
Dedicated infrastructure
Dedicated resources in OCI, including processors, memory, networking, and storage, provide greater control over service levels and operational policies while enabling data isolation and performance predictability.
Converged database
Simple and complete database capabilities make it easy to create and extend applications with all data types, data models, and data processing using a single database system. This replaces the complexity and risk of managing multiple single-purpose databases.
High performance
Fast, predictable database performance is provided by monitoring and automatically adjusting resources, indexes, and query execution. Unique low latency, parallel query, and intelligent storage accelerate all types of database workloads.
High availability
The fault-tolerant Exadata platform combined with advanced features such as Oracle Real Application Clusters and Oracle Maximum Availability Architecture enable 99.95% availability SLAs that increase to 99.995% when used with Autonomous Data Guard.
Built-in security
Powerful security controls help protect sensitive data from unauthorized access and cyberattacks. As a result, the risk of a data breach is reduced while privacy and regulatory requirements are addressed with always-on encryption, Oracle Data Safe, Oracle Database Vault, and OCI security.
Maximum scalability
Oracle Exadata’s scale-out architecture lets organizations independently configure compute and storage to optimize database performance and create data warehouses with up to 40 PB of capacity.
Real-time data integration
Oracle GoldenGate provides high-volume data replication optimized for Oracle Database. Oracle Cloud Infrastructure Data Integration simplifies data migration into cloud platforms for data warehouses and data lakes.
Consolidation efficiency
Concurrently run autonomous and non-autonomous databases to increase consolidation efficiency while reducing both management and consumption costs.
Private AI Vector search
Native Vector Search built into the database kernel. Use Select AI to run similarity searches and generate responses on your private business data using standard SQL.
Multicloud integration
Seamlessly deploy Oracle Database@AWS or Oracle Database@Azure. Connect your dedicated AI data foundation directly to your applications running in other clouds with low latency.
Cloud Economics On-Premises
Run Autonomous AI Database on dedicated infrastructure deployed in your own data center with Oracle Cloud@Customer. Get the same automation, performance, and economics of OCI while meeting strict data residency, latency, and regulatory requirements.
Autonomous AI Database solutions on dedicated infrastructure
Autonomous AI Transaction Processing
Rapidly build ecommerce platforms, booking systems, and other transactional applications with Oracle Autonomous AI Transaction Processing. Preconfigured and optimized for both transactional and mixed OLTP and OLAP workloads, Autonomous AI Transaction Processing delivers better performance, greater scalability, and lower operating costs* than Amazon RDS for Oracle.
Autonomous AI Lakehouse
Easily build fraud detection, self-service marketing analytics, or other analytical applications with Oracle Autonomous AI Lakehouse. Preconfigured and optimized for data warehousing, analytics, and data lakes, Autonomous AI Lakehouse is simpler to use and provides stronger built-in security than Snowflake.
Oracle AI Vector Search
Quickly build enterprise-grade AI apps like semantic search, RAG, or agentic AI solutions with developer-friendly APIs plus superior scalability, performance, and enterprise-grade security.
Sovereign AI
Feed your LLMs with real-time, private, contextual business data. Do advanced vector-search with in-database transformers. Use Dedicated Infrastructure to enforce strict network isolation for your retrieval systems.
Globally Distributed Autonomous AI Database
Oracle Globally Distributed Autonomous AI Database is a fully automated distributed cloud database that helps customers meet data residency requirements, provide survivability for business-critical applications, and deliver cloud-scale database performance.
Low-code application development
The Oracle APEX enterprise low-code development platform is built into Autonomous AI Database so developers and power users can create, run, and secure transactional or analytic apps faster than with traditional methods.
Applications and tools compatible with Autonomous AI Database
Autonomous AI Database customer successes
Spawning multiple industries, Autonomous AI Database - Dedicated succeeds where stringent security, availability, and performance requirements are needed.
Modernizing your database estate to drive cost savings into your development and corporate database governance requirements
Robert Greene - VP Product ManagementLooking to cut costs without sacrificing control over your database estate? This post explores how moving to Autonomous AI Database on Dedicated Exadata Infrastructure (ADB-D) lets you break free from inefficient overprovisioning and rigid cloud models, aligning spend with real usage while strengthening governance. You’ll see how to isolate environments, streamline development workflows, and centralize operational visibility—all while reducing overhead and improving scalability. If you’re balancing budget pressure with growing governance demands, this is a practical blueprint for doing both more efficiently.
Featured blogs
- FEBRUARY 24, 2026Autonomous Protection: How Self-Protecting Databases Reduce Data Loss and Protect Against Ransomware
- FEBRUARY 5, 2026The Evolution of Exadata: Bridging Co-managed Power and Autonomous Efficiency
- FEBRUARY 4, 2026Accelerate Your Autonomous AI Database Deployments with OCI Landing Zones
- JANUARY 23, 2026Announcing AWS Key Management Service Integration for Oracle Autonomous AI Database on Oracle Database@AWS
- JANUARY 21, 2026Multicloud Resilience Without the Complexity: Autonomous Data Guard Across OCI and AWS
Autonomous AI Database on dedicated infrastructure use cases
Create, move, migrate, develop and consolidate.
- Move Oracle applications to OCI
Get more value from your Oracle applications by optimizing and extending PeopleSoft, JD Edwards EnterpriseOne (PDF), and Siebel CRM and by reducing administration with database automation.
- Migrate custom applications
Optimize and extend your custom and ISV applications, including SAP. Improve performance, availability, and security while reducing administrative complexity and total costs with autonomous operations.
- Develop cloud native and traditional database workloads
Business users and application developers can create enterprise applications 38X faster than coding—without having to learn complex web technologies.
Create transaction processing and mixed workload applications
- Consolidate data marts to accelerate business insights
Deploy secure, mission-critical data warehouses to protect and consolidate multiple data sources into trusted, automated, and cost-effective data stores.
Autonomous AI Database on dedicated infrastructure resources
Access complete Autonomous AI Database documentation
- Datasheet: Autonomous Database on Dedicated Exadata Infrastructure (PDF)
- FAQ: Oracle Autonomous Database for Developers (PDF)
- Autonomous Database on Dedicated Exadata Infrastructure
- Architecture: Run PeopleSoft ERP and Autonomous Database in an HA multicloud deployment
- Autonomous Transaction Processing—OLTP and mixed workloads
- Autonomous Data Warehouse—data warehousing for everyone
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