Oracle Exadata X11M: Revolutionizing Database Performance for AI and Cloud Workloads

Oracle Beats AWS, Azure on their Home Turf.

Exadata delivers faster OLTP database operations with 14 microseconds latency, compared to 1 millisecond on AWS RDS and Azure SQL. Oracle, a leader in cloud technology, has introduced the Oracle Exadata X11M, the newest version of its Exadata platform. According to the company, this model offers up to 55% quicker AI vector searches, 2.2 times faster analytics scan throughput, and 25% improved transaction processing, all while maintaining the same pricing as its predecessor. "Exadata X11M is up to 70 times faster due to the unique hardware offloaded RDMA compared to AWS RDS and Azure SQL. Now, with multi-cloud, we're faster than AWS in AWS and faster than Azure in Azure," said Kothanda Umamageswaran, Oracle SVP of Exadata and scale-out technologies. He explained that Exadata offers lower latency for OLTP database operations, handling tasks faster than AWS RDS and Azure SQL, which take around 1 millisecond compared to Exadata's mere 14 microseconds. Oracle's multi-cloud strategy allows them to deploy their Exadata technology on competing cloud platforms, claiming superior performance even in those environments, including on AWS and Azure infrastructures. It challenges these providers in their own ecosystems. "The Google and AWS announcements are fairly recent, so naturally, this multi-cloud play is not at the same scale as our current on-premises and Oracle Cloud offerings," Ray said. However, the company anticipates significant growth in this multi-cloud initiative, including Azure, with the hope that clients using other platforms will move to its high-performance database. "The walled gardens have come down, and business productivity has become much more transparent. There are no bottlenecks, no setbacks, and now the choice is back to the customers," said Ray. He described India as a data-driven market experiencing explosive growth, fuelled by the digital modernisation of businesses -- from large enterprises to a vibrant startup ecosystem. Ray expects that in India, Exadata X11 will act as a catalyst for further business innovation and IT modernisation. Furthermore, he added that migrating to Exadata X11M provides better value for businesses. "With Exadata X11M, companies can handle more workloads with fewer servers, which helps reduce costs related to data centres, power usage, space, and cooling, especially for those using on-premises setups." Meanwhile, Umamageswaran notes that companies requiring access to vast amounts of data from multiple sources and data types, say, graph, spatial, documents, transactional, and analytical data, will benefit from Oracle Databases 23ai on Exadata X11M. The company claims that Exadata handles transactions in microseconds and also supports real-time analytics like anti-money laundering (AML) checks that must occur simultaneously with the transaction process. The catch with Oracle Exadata is that it is only compatible with its database. But today, customers are experimenting with different database platforms such as Amazon Aurora, Cosmos DB, Google Spanner, MongoDB, CockroachDB, and many more. "There will always be individual data management solutions, whether it's PostgreSQL, Aurora, Redshift, or Cosmos DB," Ray added. Much like Oracle, CockroachDB is a distributed SQL database designed for scalability, consistency, and resilience. It combines the best features of traditional relational databases with the advantages of modern distributed systems. Spencer Kimball, CEO of Cockroach Labs, in the latest episode of Tech Talks at AIM, critiqued the dependence on cloud vendors like AWS, Google Cloud, and Oracle for databases, emphasising the limitations of vendor lock-in. He stated: "With CockroachDB, we let customers run across clouds, in private data centers, or both. You can even turn off a cloud vendor entirely and keep running without downtime. That's true freedom, and it's what enterprises need today." To this, Ray said: "A lot of these companies tend to be SQL-compatible. We do have customers who run CockroachDB and PostgreSQL," adding that the scale at which Oracle Database runs and supports large enterprises across the entire globe is absolutely unheard of. "That's why you see a lot of multi-cloud interest from the cloud hyperscalers," he added. From a generative AI perspective, he highlighted that Exadata significantly accelerates tasks like vector processing, index creation, and querying. However, he did acknowledge the growing popularity of PostgreSQL due to its open-source nature. Oracle Database doesn't directly support PostgreSQL, but Oracle offers a service called OCI Database with PostgreSQL. This service lets users use PostgreSQL in the Oracle Cloud, giving them PostgreSQL features along with Oracle's cloud benefits. AMD is EPYC: Oracle launched Exadata in 2008. Ray explained that while the Oracle Exadata X9M was based on Intel processors, the new Exadata X11M uses AMD EPYC processors. The reason for moving to AMD was that it was just available with numbers that can drive a lot of parallel throughput for database workloads," said Ray. Interestingly, NVIDIA also recently partnered with AMD AMD's EPYC CPUs are critical in powering NVIDIA's GPUs for large-scale AI workloads. "We've shown a 20% improvement in training and a 15% improvement in inference when connecting EPYC CPUs to NVIDIA's H100 GPUs," said Ravi Kuppuswamy, senior vice president & general manager at AMD.

Oracle Beat AWS, Azure on their Home Turf

Exadata delivers faster OLTP database operations with 14 microseconds latency, compared to 1 millisecond on AWS RDS and Azure SQL. Oracle, a leader in cloud technology, has introduced the Oracle Exadata X11M, the newest version of its Exadata platform. According to the company, this model offers up to 55% quicker AI vector searches, 2.2 times faster analytics scan throughput, and 25% improved transaction processing, all while maintaining the same pricing as its predecessor. "Exadata X11M is up to 70 times faster due to the unique hardware offloaded RDMA compared to AWS RDS and Azure SQL. Now, with multi-cloud, we're faster than AWS in AWS and faster than Azure in Azure," said Kothanda Umamageswaran, Oracle SVP of Exadata and scale-out technologies. He explained that Exadata offers lower latency for OLTP database operations, handling tasks faster than AWS RDS and Azure SQL, which take around 1 millisecond compared to Exadata's mere 14 microseconds. Oracle's multi-cloud strategy allows them to deploy their Exadata technology on competing cloud platforms, claiming superior performance even in those environments, including on AWS and Azure infrastructures. It challenges these providers in their own ecosystems. "The Google and AWS announcements are fairly recent, so naturally, this multi-cloud play is not at the same scale as our current on-premises and Oracle Cloud offerings," Ray said. However, the company anticipates significant growth in this multi-cloud initiative, including Azure, with the hope that clients using other platforms will move to its high-performance database. "The walled gardens have come down, and business productivity has become much more transparent. There are no bottlenecks, no setbacks, and now the choice is back to the customers," said Ray. He described India as a data-driven market experiencing explosive growth, fuelled by the digital modernisation of businesses -- from large enterprises to a vibrant startup ecosystem. Ray expects that in India, Exadata X11 will act as a catalyst for further business innovation and IT modernisation. Furthermore, he added that migrating to Exadata X11M provides better value for businesses. "With Exadata X11M, companies can handle more workloads with fewer servers, which helps reduce costs related to data centres, power usage, space, and cooling, especially for those using on-premises setups." Meanwhile, Umamageswaran notes that companies requiring access to vast amounts of data from multiple sources and data types, say, graph, spatial, documents, transactional, and analytical data, will benefit from Oracle Databases 23ai on Exadata X11M. The company claims that Exadata handles transactions in microseconds and also supports real-time analytics like anti-money laundering (AML) checks that must occur simultaneously with the transaction process. The catch with Oracle Exadata is that it is only compatible with its database. But today, customers are experimenting with different database platforms such as Amazon Aurora, Cosmos DB, Google Spanner, MongoDB, CockroachDB, and many more. "There will always be individual data management solutions, whether it's PostgreSQL, Aurora, Redshift, or Cosmos DB," Ray added. Much like Oracle, CockroachDB is a distributed SQL database designed for scalability, consistency, and resilience. It combines the best features of traditional relational databases with the advantages of modern distributed systems. Spencer Kimball, CEO of Cockroach Labs, in the latest episode of Tech Talks at AIM, critiqued the dependence on cloud vendors like AWS, Google Cloud, and Oracle for databases, emphasising the limitations of vendor lock-in. He stated: "With CockroachDB, we let customers run across clouds, in private data centers, or both. You can even turn off a cloud vendor entirely and keep running without downtime. That's true freedom, and it's what enterprises need today." To this, Ray said: "A lot of these companies tend to be SQL-compatible. We do have customers who run CockroachDB and PostgreSQL," adding that the scale at which Oracle Database runs and supports large enterprises across the entire globe is absolutely unheard of. "That's why you see a lot of multi-cloud interest from the cloud hyperscalers," he added. From a generative AI perspective, he highlighted that Exadata significantly accelerates tasks like vector processing, index creation, and querying. However, he did acknowledge the growing popularity of PostgreSQL due to its open-source nature. Oracle Database doesn't directly support PostgreSQL, but Oracle offers a service called OCI Database with PostgreSQL. This service lets users use PostgreSQL in the Oracle Cloud, giving them PostgreSQL features along with Oracle's cloud benefits. AMD is EPYC: Oracle launched Exadata in 2008. Ray explained that while the Oracle Exadata X9M was based on Intel processors, the new Exadata X11M uses AMD EPYC processors. The reason for moving to AMD was that it was just available with numbers that can drive a lot of parallel throughput for database workloads," said Ray. Interestingly, NVIDIA also recently partnered with AMD AMD's EPYC CPUs are critical in powering NVIDIA's GPUs for large-scale AI workloads. "We've shown a 20% improvement in training and a 15% improvement in inference when connecting EPYC CPUs to NVIDIA's H100 GPUs," said Ravi Kuppuswamy, senior vice president & general manager at AMD.

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

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 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.

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

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 , /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 (NASDAQ:GOOGL) Cloud, and Microsoft (NASDAQ:MSFT) Azure," said , 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 (NASDAQ: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: 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 (SIX:SCMN) data centers," said , 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 , 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 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.

Oracle Unveils Exadata X11M with Unmatched Performance for AI Workloads

Oracle 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.

Oracle touts speedy vector search in new Exadata machine - SiliconANGLE

Oracle Corp. today is rolling out the latest version of its Exadata database-optimized computing platform, claiming 55% better performance on vector searches used in artificial intelligence model training, 2.2 times faster analytics scanning throughput and 25% speedier transaction processing performance than its predecessor. The Exadata X11M succeeds the Exadata X10M, which was introduced 18 months ago. Oracle emphasizes flexibility in this release, noting that the system can be used on-premises, accessed through all major cloud services and deployed locally as a managed Oracle service. It uses the latest generation of Advanced Micro Devices Inc.'s 96-core EPYC processors and remote direct memory access. That technology allows data to be transferred directly between the memory of networked computers without involving the operating system or the CPU of either machine. Oracle said software enhancements in this version improve RDMA performance by 33% and the use of all-flash storage halves access times compared with the X10M. Oracle touted, in particular, the machine's improved performance on vector search, which is a method of finding data that is similar to a query but not an exact match. It's a core function in such AI uses as recommendation systems and natural language processing. The platform supports also persistent vector index search capabilities, in which a vector index and its associated data are stored on durable storage media rather than entirely in main memory. That allows searches to be conducted across large data sets while also enhancing availability. A new vector distance operator returns the distance between vectors in response to an SQL query. A distance operator quantifies how similar or dissimilar two vectors are by measuring their distance, with a smaller distance indicating that items are more closely related. "Calculating the distance between vectors is very CPU-intensive," said Bob Thome, vice president of product management for the Exadata database service. "We push it down to the storage layer to make it faster." Vector searches can be transparently offloaded to Exadata storage and take advantage of algorithms that run them 30 times faster than on a traditional architecture, Thome said. Search queries can also automatically be parallelized across storage servers. Oracle noted that Exadata uses off-the-shelf components and achieves its speed and flexibility through software. "If you just take CPUs in a standard architecture you won't see the same results," Thome said. "Our unique data intelligence software enables orders of magnitude higher performance." That includes proprietary algorithms for internode cluster coordination and a unique RDMA caching feature that accelerates access to data in storage. A feature called Smart Scan automatically offloads data-intensive SQL operations to storage while another automatically converts data in rows to an in-memory columnar format for high-speed analytics. The result is up to 25% faster analytics query processing than on the X10M, Oracle claimed. Oracle's emphasis on multicloud deployment continues its campaign to make Exadata the go-to platform for any company using the company's database management software. Last July it announced a service that leverages multiple cloud instances to significantly reduce Exadata's cost. In September, it settled a long-running feud with Amazon Web Services Inc. by making the Exadata Database Service available on dedicated AWS infrastructure in addition to Google LLC's Cloud and Microsoft Corp.'s Azure. Customers running Exadata workloads can now "move across different deployment scenarios without downtime or disruption," said Steve Zivanic, global vice president of database and autonomous services product marketing. "If you're on-prem and want to dabble in the cloud, there's no porting or changes in applications involved. You can move workloads wherever you want."