Oracle Launches Globally Distributed Exadata Database on Exascale Infrastructure
Oracle Corporation has announced the general availability of its Globally Distributed Exadata Database on Exascale Infrastructure, designed to enhance performance and availability for mission-critical applications, announced in a press release. This new service allows customers to run distributed workloads, including agentic AI, analytics, and transactional processes, while addressing data sovereignty and performance requirements.
The service features a serverless architecture that dynamically scales to meet changing workload demands, providing benefits such as always-on architecture, lower costs, and simplified operations. It supports high-volume transaction processing and real-time analytics, ensuring applications remain online even during regional outages.
Oracle's solution also addresses data residency concerns by offering automated data distribution methods, making it suitable for industries with strict data regulations. The infrastructure supports petabyte-scale AI and analytics, enabling customers to process large datasets efficiently. This service is particularly beneficial for sectors like financial services, healthcare, and e-commerce, where high availability and performance are critical.
We hope you enjoyed this article.
Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.
Also, consider following us on social media:
More from: Data Centers
Subscribe to Silicon Brief
Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.
Market report
AI’s Time-to-Market Quagmire: Why Enterprises Struggle to Scale AI Innovation
The 2025 AI Governance Benchmark Report by ModelOp provides insights from 100 senior AI and data leaders across various industries, highlighting the challenges enterprises face in scaling AI initiatives. The report emphasizes the importance of AI governance and automation in overcoming fragmented systems and inconsistent practices, showcasing how early adoption correlates with faster deployment and stronger ROI.
Read more