Oracle Exadata X11M Delivers Extreme Performance, Increased Efficiency, and Improved Energy Savings for Data and AI Workloads

Rhea-AI Summary

Oracle has unveiled the Exadata X11M, its latest database platform generation, offering significant performance improvements at the same price point as its predecessor. The new platform delivers up to 55% faster AI Vector searches, 2.2X faster analytics scan throughput, and 25% faster transaction processing.

The X11M, optimized for AMD EPYC processors, features improved energy efficiency through intelligent power management and workload consolidation. It can be deployed across multiple environments including public cloud, multicloud (OCI, AWS, Google Cloud, Microsoft Azure), and on-premises without requiring application changes.

Key improvements include up to 25% faster analytic query processing, 21% lower SQL I/O read latency, and enhanced AI capabilities with 4.7X more data filtering in storage servers. The platform helps customers reduce infrastructure costs while meeting sustainability goals through intelligent power management and improved utilization efficiency.

Positive

• Significant performance improvements with no price increase from previous generation
• 55% faster AI Vector searches and 2.2X faster analytics scan throughput
• 25% faster transaction processing and analytic query processing
• Reduced operational costs through improved power efficiency and workload consolidation
• Multi-cloud deployment flexibility across major cloud providers

Negative

• None.

Next-generation intelligent data architecture delivers up to 55 percent faster AI Vector searches, 2.2X faster analytics scan throughput, and 25 percent faster transaction processing—at the same price as the previous generation

AUSTIN, Texas, Jan. 7, 2025 /PRNewswire/ -- Oracle today introduced Oracle Exadata X11M, the latest generation of the Oracle Exadata platform. Starting at the same price as the previous generation, Exadata X11M delivers significant performance improvements across AI, analytics, and online transaction processing (OLTP). Combining intelligent power management with the ability to run mission-critical workloads faster and on fewer systems helps customers achieve their energy efficiency and sustainability goals. In addition, the same capabilities are available across public cloud, multicloud, and on-premises environments, giving customers flexibility to deploy and run their Oracle Database workloads wherever they need without any application changes.

"With Oracle Exadata X11M, we continue to provide customers with extreme scale, performance, business value, and the choice and flexibility to deploy wherever they need—from public cloud to multicloud to on-premises. In fact, every leading cloud will be running Exadata X11M, including OCI, AWS, Google Cloud, and Microsoft Azure," said Kothanda Umamageswaran, senior vice president, Exadata and Scale-Out Technologies, Oracle. "Whether upgrading an existing system or deploying new applications on Exadata X11M, customers benefit from new levels of price performance, consolidation, and efficiency with resulting savings in hardware, power and cooling, and data center space." 

Significant value with more performance at the same price
Optimized for the latest generation AMD EPYC™ processors, Exadata X11M enables orders of magnitude higher performance than competitive database systems. Exadata X11M's performance increased across all workloads, with much faster vector search for AI, much faster IOPS and shorter latencies for transaction processing, and much faster data scans and query throughput for analytics. With the ability to scan data in both flash and Exadata RDMA Memory (XRMEM), Exadata X11M can achieve extraordinary analytics throughput. These enhancements are available at the same price as the previous generation Exadata X10M, enabling customers to reduce costs by doing more work on the same size platform.

Exadata X11M performance improvements compared to X10M platform include:

• AI Vector Search: Up to 55 percent faster persistent vector index (IVF) searches with transparent offloading to intelligent Exadata storage. In addition, in-memory vector index queries (HNSW) are up to 43 percent faster. New software optimizations available across all Exadata platforms provide even faster AI search with 4.7X more data filtering in storage servers and 32X faster queries when searching binary vectors. This enables customers to run sophisticated vector searches faster in combination with more private business data and enhance the accuracy and reliability of generative AI models, while lowering overall costs.
• OLTP: Up to 25 percent faster serial transaction processing, up to 25 percent greater concurrent transaction throughput, and up to 21 percent lower SQL 8K I/O read latency—now only 14us. This enables customers to do more and spend less by running more transactions faster with a smaller database system footprint.
• Analytics: Up to 25 percent faster analytic query processing, up to 2.2X faster analytic I/O on storage servers, and an increase of up to 500GB/sec Database In-Memory Scan. When combined with other Exadata innovations, this enables customers to run real-time analytics on transactional data and more rapidly scan terabyte to petabyte data warehouses to gain critical business insights.

Improved energy efficiency and sustainability
Exadata X11M also helps customers significantly reduce power and costs in four different ways. First, Exadata X11M's high performance enables customers to run their portfolio of database workloads on fewer systems, helping save on infrastructure, power and cooling, and data center space. Second, Exadata X11M improves utilization efficiency by enabling more workloads to be consolidated on smaller systems. Third, intelligent power management is built directly into Exadata X11M, helping customers address energy efficiency and sustainability goals by letting them turn off unneeded CPU cores, cap power consumption, and optimize power utilization during periods of low usage. Finally, customers can benefit from built-in automation through Oracle Autonomous Database, which helps eliminate manual database management tasks and human error.

More deployment flexibility for data and AI workloads
Exadata X11M can be deployed on-premises, or with Exadata Database Service and Autonomous Database on Exadata Cloud@Customer, Oracle Cloud Infrastructure (OCI), and multicloud environments. Customers have access to the same Oracle Database and the same capabilities running on the same Exadata architecture in all these environments. Oracle Database is 100-percent compatible across deployments enabling customers to run their workloads wherever they need without any application changes.

In multicloud deployments, Oracle Database will run on Exadata X11M in OCI, AWS, Google Cloud, and Microsoft Azure data centers. With this option, customers have access to all Oracle Database capabilities, including Oracle Real Application Clusters, which uniquely enables scaling and high availability during planned and unplanned downtime. In addition, customers can combine their applications, AI models, or analytics tools in AWS, Google Cloud, or Microsoft Azure with their data in Oracle databases supported by a low-latency network connection.

Customer and Analyst Quotes
"We have Exadata Database Machine as well as Exadata Cloud@Customer deployed in our Swisscom data centers," said Moritz Werning, product manager, Swisscom Ltd. "It's great news that Oracle Exadata X11M is available at the same time in all deployment options, including multicloud deployment. We look forward to gaining all the performance and price performance benefits as well as the efficiencies that Exadata X11M delivers. Higher efficiency can help us to achieve our energy and sustainability goals while continuously improving our customer service."

"It's never been more clear than today that Exadata is the industry standard platform to run Oracle Database," said Ron Westfall, research director, The Futurum Group. "Whether its powering Oracle Database 23ai in hyperscalers such as AWS, Azure, and Google Cloud—or outperforming on-premises infrastructure from any major vendor out there—the latest Exadata X11M allows organizations to decide where they want to gain the best performance for their Oracle Database workloads. And for everything from extreme vector processing to stock exchange-level transactions. Exadata X11M is clearly the gold standard by which all other platforms that try to run Oracle Database are measured."

Additional Resources

• Hear from Kothanda Umamageswaran to learn more about the latest Exadata innovations
• Read the technical blog
• Read global industry analyst comments about Exadata X11M
• Learn more about Oracle Exadata

About Oracle
Oracle offers integrated suites of applications plus secure, autonomous infrastructure in the Oracle Cloud. For more information about Oracle (NYSE: ORCL), please visit us at oracle.com.

Trademarks
Oracle, Java, MySQL and NetSuite are registered trademarks of Oracle Corporation. NetSuite was the first cloud company—ushering in the new era of cloud computing.

 

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SOURCE Oracle

FAQ

What performance improvements does Oracle (ORCL) Exadata X11M offer compared to X10M?

The X11M offers 55% faster AI Vector searches, 2.2X faster analytics scan throughput, 25% faster transaction processing, and 21% lower SQL I/O read latency compared to X10M, at the same price point.

Which cloud platforms will support Oracle (ORCL) Exadata X11M deployment?

Exadata X11M can be deployed on Oracle Cloud Infrastructure (OCI), AWS, Google Cloud, and Microsoft Azure, offering full Oracle Database capabilities across all platforms.

How does Oracle (ORCL) Exadata X11M improve energy efficiency?

X11M improves energy efficiency through intelligent power management, workload consolidation, ability to turn off unused CPU cores, power consumption capping, and optimization during low usage periods.

What are the AI capabilities of Oracle (ORCL) Exadata X11M?

X11M offers 55% faster persistent vector index searches, 43% faster in-memory vector index queries, 4.7X more data filtering in storage servers, and 32X faster queries when searching binary vectors.