Oracle rack-mount servers

... the cost of deploying UNIX infrastructure. Versatile design supports data-intensive applications 2U SPARC S7-2L servers with 16 high-performance processor cores, up to 1TB of memory, and up to 25 ...

... SPARC T8 servers that are optimized for different size workloads. Optimized designs lower costs Cost-effective systems with 32 to 128 processor cores, up to 4 TB of memory, and up to 51 TB of NVMe flash storage allow ...

Scale-up design increases efficiency Up to 256 cores and 8 TB of memory reduce data center complexity by increasing consolidation efficiency for customers’ UNIX applications. Isolated partitions increase availability Option of ...

... maximizing uptime for crucial customer applications. Software on Chip accelerates Oracle Database Customers run Oracle Database with high performance and efficiency because Software on Chip capabilities ...

Oracle Server X7-2 two-socket x86 server is designed for maximum security, reliability, and performance for Oracle Database, and it is an ideal building block for running Oracle software in the cloud. ...

Oracle Server X7-2L is the ideal 2U platform for databases, enterprise storage, and big data solutions. Supporting the standard and enterprise editions of Oracle Database, this server delivers best-in-class ...

Oracle Server X7-8, Oracle’s latest server capable of both four-socket and eight-socket configurations, is the newest addition to Oracle’s family of x86 servers that are purpose-built ...

... SPARC systems, simplifying customers’ system upgrades and reducing risk. Scalability reduces complexity Oracle SPARC servers support up to 384 cores and 48 TB of memory so customers can efficiently ...

Performance for compute-intensive workloads Oracle Server X9-2’s high density allows IT teams to efficiently support compute-intensive workloads and to create private or public clouds using high-performance ...

Flexibility for enterprise workloads Oracle Server X9-2L’s storage-intensive configurations allow customers to accelerate enterprise workloads such as Oracle Database, NoSQL, and Hadoop. High performance for data-intensive ...