Migrating High Performance Computing Workloads to the Cloud
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Cloud computing has given federal agencies newfound ability to run large-scale modeling and high-performance computing workloads that not that long ago required coveted time slots on supercomputers. But moving the massive data sets from agency data centers to the cloud still involves a lot of work. Data extraction charges can also be costly and until recently, latency was a significant issue. That’s changing thanks to new capabilities available from a software solution that many federal agencies are already using on premises to help them manage those workloads. Teams are already moving data between data centers, between office locations, between disaster recovery locations, and they've been using tools like NetApp’s SnapMirror, which replicates business-critical data at high speeds over local or wide area networks, ThunderCat Technology's CTO Nic Perez in this podcast. Sponsored by AWS, ThunderCat Technology and NetApp. Guest: Nic Perez, Chief Technology Officer, ThunderCat Technology Host: Host: Wyatt Kash, SVP, Content Strategy, Scoop News Group Look for more coverage of “IT Modernization in Government” on www.fedscoop.com/listen
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