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The Most Advanced Systems for Cloud and Scale-out: SPARC S7

White Paper Published By: Oracle
Published:  Oct 20, 2017
Type:  White Paper

On Thursday June 30th, we announced Oracle’s new cloud platform, including a new line of servers for cloud and scale-out applications: Oracle’s SPARC S7-2 and S7-2L servers. These servers are based on the breakthrough SPARC S7 processor and extend the outstanding features and capabilities of the SPARC T7 and M7 systems into scale-out form factors. With the combination of Oracle’s breakthrough Software in Silicon features and the efficiency of the SPARC S7 processor we can offer the most secure and economical enterprise clouds with the fastest infrastructure for data analytics.

Here at Oracle we recognize our customers’ needs for increasing the security of their data, therefore we have taken security as one of the core values on the SPARC Servers. The new SPARC S7 processor leverages the revolutionary Security in Silicon features introduced on the SPARC T7 and M7 systems. Silicon Secured Memory is a unique hardware implementation that prevents unauthorized access to application data in memory and can prevent hacking exploits and programming errors. In addition, SPARC processors offer the fastest and most complete on-chip encryption accelerators in the industry, turning end-to-end data encryption into a reality, and making it easy to support secure transactions with near-zero performance impact. Coupled with the unique feature of Oracle Solaris platform, such as immutable virtual machines, time-based user control, activity-based delegation, automated compliance reports and remote auditing, you can easily enable security by default. In summary, by designing your infrastructure with SPARC Servers you will run your business on the most secure platform for enterprise computing.

Hear Masood Heydari, SVP of SPARC Engineering, discuss details of Oracle's servers designed for cloud and scale-out, which provide security by default, better core efficiency for cloud apps, and accelerate data analytics at X86 commodity cost points.

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