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Oracle has recently updated its Exadata platform with the introduction of the Exadata X11M, which aims to enhance database operations for AI, online transaction processing (OLTP), and analytics in various computing environments, including clouds and customer data centers.

Many might overlook Oracle’s hardware offerings, as the company doesn’t emphasize this part of its business. The Exadata servers originate from the acquisition of Sun Microsystems in 2010. Since then, Oracle has pivoted from its custom Sparc processors to a focus on x86 architecture, specifically optimizing these systems to run Oracle’s software efficiently.

The Exadata X11M is constructed to maximize the performance of Oracle Database, particularly for transaction-heavy applications. By leveraging its deep expertise in database technology, Oracle aims to expedite transaction processing and analytics by up to 30 times compared to its previous server generation.

This new hardware comes equipped with the latest AMD Epyc processors featuring up to 96 cores. Compared to earlier systems, the X11M boasts a 25% improvement in per-core performance and a 33% increase in memory bandwidth. The upgrade from Intel to AMD processors also allowed Oracle’s design to focus on offloading complex vector processing tasks to storage servers, substantially enhancing operational efficiency and speed for AI workloads.

Furthermore, the Exadata X11M supports a variety of deployment options, such as on-premises setups, Oracle Cloud@Customer, and partnerships with public cloud services, offering flexibility for customers to choose their preferred operational model. This adaptability allows for scalable configurations that can grow or shrink as operational needs change.

Overall, the Exadata X11M marks a significant step in Oracle’s strategy to accelerate database performance and lower operational costs while addressing the evolving demands of AI and analytics in today’s data-centric environments.


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