Investing in new hardware and software components is a challenging prospect for any company. Not knowing how new equipment and software stacks will precisely perform running your organization’s various workloads can be a significant barrier to upgrading legacy infrastructure. Even if performance benefits are well documented, any CTO or CIO will want to see proof of ROI before agreeing to allocated resources.
To better help companies realize the benefits that come with investing in infrastructure upgrades, Intel created Intel® CoFluent™ technology—a system-level solution to model and simulate the whole software stack and all hardware components inside an organization to predict a wide range of needs, from big data cluster performance to IoT network behavior. The simulations can help determine the optimal settings for a business’s unique needs, so that IT departments can plan the most effective course for saving time and money.
Partnering Across the Industry
A number of customers have found Intel CoFluent technology to be a boon to their infrastructure planning. Intel worked closely with Ericsson to find performance increases in its hyperscale data center. A major automotive company used Intel CoFluent technology to evaluate its Connected Car Cloud Data Center Cluster and found Intel FPGAs could be a promising avenue for increasing performance. Similarly, China Mobile used Intel CoFluent technology to analyze how to best optimize its production cluster with little interruption. Both China Mobile and the automotive partner initially worked directly with Intel before taking the solution in-house for further evaluations.
Intel has also collaborated with Dell to show performance improvements in big data clusters at the University of Pisa and with Dell EMC to help another major automotive company find significant system performance. This evaluation allowed Dell EMC to win future infrastructure contracts.
Working with HPE on Specific Needs
One of Intel’s closest partners, HPE, works directly with Intel CoFluent technology for their own internal needs and continues to actively collaborate with its customers on how to best plan configurations that offer the highest performance at the lowest cost.
Using CoFluent-based analysis, HPE was able to compare on-premises cloud solutions with public cloud offerings. This research enabled HPE to win a large cluster design, which features Intel® Xeon® processors, with National Renewable Energy Laboratory.
Intel CoFluent optimization and analysis has also helped HPE demonstrate major performance per price advantage and scalability gains with Intel® Optane™ persistent memory on GraphX using real-world workloads from the pharmaceutical industry. HPE’s platform using Intel Optane persistent memory at 1.5 TB of 128 GB modules showed up to 48% improved performance per price versus using 1.5 TB of 128 GB DDR4 DRAM DIMMs.
Intel CoFluent analysis also aided HPE in achieving a big data analytics TPCx-BB world record in performance and price per performance with 2nd Generation Intel Xeon processors. TPCx-BB is a distributed big data analytics workload representing thirty different query types found in common use-cases. Using the tuning parameters generated from the Intel CoFluent models and simulations, HPE was able to achieve a 2X performance increase over what was possible from manual tuning, and without the need to make many time-consuming runs to find the optimal settings. Additionally, CoFluent tuning resulted in a 57% TCO reduction versus manual tuning. Learn more about the HPE case study here.
Engineered with Intel
There are very few tools in the industry to address the complex challenge of modeling various workloads that are essential, yet often specific to large-scale organizations. Though the Intel CoFluent technology solution is a tool to evaluate what performance levels are possible, it’s Intel’s deep industry knowledge and long-standing collaborations with ecosystem partners that allow our team to devise the proper models that organizations need when evaluating future investments.
Intel offers training programs and consulting services for organizations interested in seeing how to integrate Intel CoFluent technology into their specific environments and how they can achieve higher ROI from upgrading their infrastructure. For additional use cases, white papers, and more information, visit intel.com/cofluent.
Written by Priyanka Sebastian, Cloud Solutions Engineer, Data Center Group; Mike Riess, Strategic Business Development Manager, Intel Architecture Graphics and Software Group; Bianny Bian, Principal Engineer, Intel Architecture Graphics and Software Group.
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