For years, techies have wrestled with persistent storage I\/O challenges. While data-processing power has raced forward at Moore\u2019s Law speed, storage I\/O capabilities have often lagged behind, creating a bottleneck that slows time to insight. This problem has made I\/O performance a top technical concern for those running data-intensive workflows.\nToday, a team has found a solution to this long-running storage I\/O problem. That solution is the Dell Data Accelerator, incorporating technologies from Dell EMC, Intel and Cambridge University. The Data Accelerator is a key component of the University\u2019s new Cumulus supercomputer.\nAs for that system, Cumulus provides more than 2 petaflops of performance, powered by Dell EMC PowerEdge\u2122 servers, Intel\u00ae Xeon\u00ae processors and the Intel\u00ae Omni-path Architecture (Intel\u00ae OPA). The system incorporates OpenStack\u00ae software to control pools of compute, storage and networking resources and make them readily accessible to users via a cloud interface.\nIn addition to OpenStack-provisioned x86 and GPU bare-metal and virtualized hosts, Cumulus incorporates the Data Accelerator with an innovative orchestrator built by the University of Cambridge and StackHPC. This accelerator provides more than 500 GB\/s of I\/O read performance, which makes it the UK\u2019s fastest HPC I\/O platform, according to the Research Computing Service. The result is a single heterogeneous x86\/GPU platform that provides the UK\u2019s most advanced supercomputing cloud.\n Dell EMC\nThe network-attached Data Accelerator at the University of Cambridge\nThe University of Cambridge is now leveraging the Data Accelerator and the Distributed Name Space (DNE) feature in the Lustre file system to continue to optimize the Cumulus cluster for top I\/O performance. This optimization work has led to a huge leap forward in storage performance, according to Dr. Paul Calleja, the University\u2019s Director of Research Computing Services.\nIn benchmark testing, the Cumulus system achieved a score of 158.7 on the IO-500 list, which ranked the system third on the current (November 2018) IO-500 list. For system users, these numbers equate to significant improvements in I\/O performance for HPC workloads \u2014 and faster results.\n\u201cWith DNE, the IOPS performance of this solution is amazing,\u201d Dr. Calleja says. \u201cThe guys had to work around bugs and adjust Lustre parameters to get it to run, but now we have stable, repeatable and very high performance runs with no errors and determinant behavior, so I think we have cracked the HPC storage problem.\u201d\nFor a closer and more technical look at the Data Accelerator, visit the Research Computing Services\u2019 Data Accelerator site. And take a look at the case study.