“We like to say that Comet provides ‘HPC for the 99 percent’ – essentially it’s about providing high-performance computing to a much larger research community and serving as a gateway to discovery,” said SDSC director Michael Norman, principal investigator for the Comet project. “In order to provide research to a larger community of users, we needed to start with a solid hardware foundation. We chose the Dell PowerEdge C6320s over competitive solutions because of Dell’s reputation in the HPC space, its leading hardware design and innovations, and for its ease of deployment. We’re excited to be working with Dell as we expand access to researchers who have not traditionally relied on supercomputers to help accelerate discovery.”
Dell PowerEdge C6320 for hyper-converged
Dell provides hyper-converged solutions with pre-configured software and hardware integrated together to target specific solutions for the software defined era. Designed as a modular scale out platform, the PowerEdge C6320 is an ideal hardware platform for these solutions including Dell Engineered Solutions for VMware EVO: RAIL and Dell XC Series of Web-scale Converged Appliances. The PowerEdge C6320 provides the right mix of processor performance, compute nodes and local storage options with leading agent-free server management tools enabling customers to quickly deploy, maintain and manage their solutions.
“As organizations continue to be inundated with information, there’s an increasing correlation between data analytics and high performance computing,” said Ashley Gorakhpurwalla, vice president and general manager, Dell Server Solutions. “From powering the revolutionary discoveries being made by top research organizations to helping accelerate product and service deployment for leading IT organizations, the PowerEdge C6320 is the latest example of Dell’s commitment to helping organizations future-proof their business while enabling companies to leverage information for competitive advantage.”
“More and more IT professionals are turning to Dell’s engineered and hyper-converged solutions as a method to simplify and streamline IT capabilities while delivering both rapid time-to-value and business results,” said Jim Ganthier, vice president and general manager, Dell Engineered Solutions and Cloud. “As the Dell Engineered Solutions portfolio continues to evolve, the PowerEdge C6320 will play an integral role. Its flexible, modular platform with automated management makes it an ideal platform for appliances such as the Dell Engineered Solutions for VMware EVO:RAIL, Dell XC Series of Web-scale Converged Appliances and our HPC offerings. The exceptional mix of features and capabilities gives our customers best-in-class performance, price and power efficiencies in a way that meets their business requirements both now and into the future.”
Dell Inc. listens to customers and delivers innovative technology and services that give them the power to do more. For more information, visit www.dell.com.
(1) Based on the LinPack benchmark, the Dell PowerEdge C6320 achieved 999 Gflops using two Intel Xeon E5-2699 processors. Dell PowerEdge C6220 achieved 498 GFlops using two Intel Xeon E5-2697 processors on the same benchmark. Based on testing by Dell Labs in June 2015.
(2) According to IDC Worldwide Hyperconverged Systems 2015–2019 Forecast, April 2015.
(3) SPEC® and the benchmark name SPECint® are registered trademarks of the Standard Performance Evaluation Corporation. Based on testing by Dell Labs in June 2015. The Dell PowerEdge C6320 achieved a SPECint_rate of 1,3320 using two Xeon E5-2699 processors. The Dell PowerEdge C6220 achieved a SPECint_rate of 919 using two Xeon E5-2697 processors. For latest SPEC CPU2006 benchmark results, visit www.spec.org.
(4) SPEC® and the benchmark name SPECpower_ssj are trademarks of the Standard Performance Evaluation Corporation. Based on testing by Dell Labs in June 2015. The 4 node Dell PowerEdge C6320 cluster achieved a SPECpower_ssj2008 result of 3,235,764 overall ssj_ops/Node, compared to the 4 node Dell PowerEdge C6220 cluster with a SPECpower_ssj2008 result of 1,678,974 overall ssj_ops/Node score. For the latest SPECpower_ssj2008 benchmark results, visit www.spec.org.
(5) Based on Dell internal analysis of number of GPUs per 1U of rack space performed against SuperMicro SYS 1028GR-TR and HP SL250s Gen8 (SL6500) in November 2014.
(6) Based on Dell internal analysis performed November 2014.
(7) Based on Dell Labs testing performed November 2014 using the High Performance LinPack (HPL) benchmark test. Actual performance will vary with configuration, usage and manufacturing variability.
Julie Metting, 1-512-203-1860