Intel Corporation
19
SunGard Ambit PATS
FSI Virtualized Private Cloud Risk Management Solution
“We successfully collaborated with Intel to configure a virtualized private cloud. The cloud framework
enables developers to run concurrent Asset & Liability Management (ALM) regression testing and
validation. We were able to run 15 virtualized instances on the new Intel® Xeon® processor E5-
2600 product family based platform versus 11 virtualized instances on the previous Intel® Xeon®
processor 5600 series based platform; without any performance degradation. This is significant
because it will enable SunGard’s software development team to properly size customer computing
needs based on critical Risk calculation requirements. In addition, the ability to host 27% more
virtual machines per server impacts SunGard’s Total Cost of Ownership for our private cloud solution
because it reduces our operational costs.”
Jiaping Zhang – SunGard Risk and Performance Management
2011
Best Liquidity Risk
& ALM Solution
Cloud
Source: Published/submitted/approved results as of March 6, 2012. Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors.
Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should
consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products.
Configuration Details: Please reference back up slides.
For more information go to http://www.intel.com/performance
*Other names and brands may be claimed as the property of others
• The SunGard Ambit Asset & Liability Management (ALM)
Risk solution enables risk professionals to understand the
impact of market changes on the balance sheet in order to
make faster and more informed business decisions
• Provides outstanding calculation performance for today’s
high-demanding risk analysis simulations
To Next Page
Loading...
