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Oracle Streamlines Mission-Critical and Agentic AI Applications


Oracle announced the general availability of Oracle Globally Distributed Exadata Database on Exascale Infrastructure, designed to simplify the deployment of distributed mission-critical applications across Oracle Cloud Infrastructure (OCI) regions worldwide.

According to the company, this new service automatically distributes, stores, and synchronizes data across multiple locations, enabling applications to remain online even during regional outages and helping businesses address data residency requirements.

With a flexible, serverless architecture, the service can dynamically scale up or down to meet the needs of changing workloads—without complex setup or management.

Customers with real-time analytics, high-volume transaction processing, and variable agentic AI workloads gain the benefits of an always-on architecture, lower costs, simplified operations, and the ability to expand globally with confidence, Oracle said. 

Globally Distributed Exadata Database on Exascale Infrastructure helps customers meet the demanding requirements for agentic AI workloads, including:

  • High performance: Allows customers to handle high-volume workloads and vector search across massive data sets by extending Exascale’s elastic scalability.
  • Mission-critical availability: Enables customers to maintain always-on operations and fast zero data loss failover across data centers and regional outages by leveraging Raft replication and Exascale’s fault-tolerant architecture.
  • Data residency: Helps customers address data residency concerns for storing, accessing, and processing AI vectors and business data with easy-to-use automated data distribution methods.
  • Cost-efficiency: Helps customers cost-effectively meet fluctuating demands from agentic AI workloads driven by end-user interactions with a hyperscale, serverless architecture that can be dynamically scaled up and down, as required.

“Customers often struggle to deploy and manage distributed databases due to the high cost and complexity involved in operating large numbers of servers across multiple data centers and regions,” said Wei Hu, senior vice president, high availability technologies, Oracle. “Oracle Globally Distributed Exadata Database on Exascale Infrastructure’s serverless architecture enables customers of all sizes to meet their diverse requirements at a low cost. Today, we are providing a mission-critical distributed database to the masses.” 

This service delivers a consistent and efficient database experience globally, making it ideal for customers that operate across multiple geographies.

Furthermore, because this service supports the full capabilities of Oracle Database and SQL, customers can distribute their databases across multiple locations without major application rewrites. 

“In the age of AI, especially agentic AI, customers need a new approach to allow for vector processing across distributed global applications,” said Holger Mueller, vice president and principal analyst, Constellation Research. “Oracle Globally Distributed Exadata Database on Exascale Infrastructure incorporates Exadata’s extreme performance for AI processing and availability for the core back-end systems that implement agent-initiated tasks, while Exascale’s hyper-elastic and pay-per-use capabilities makes it very cost-effective. With this service from Oracle, CIOs can confidently deploy agentic AI and mission-critical applications globally and meet local data residency requirements.”

 For more information about this news, visit www.oracle.com.


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