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High Performance Computing (HPC) on Azure - Azure Architecture Center | Microsoft Docs
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Top AEC Firm Adopts GPU Cloud Workstations, Achieves New Levels of Business Agility
Many industries use HPC to solve some of their most difficult problems. These include workloads such as:. One of the primary differences between an on-premises HPC system and one in the cloud is the ability for resources to dynamically be added and removed as they're needed. Dynamic scaling removes compute capacity as a bottleneck and instead allow customers to right size their infrastructure for the requirements of their jobs. As you're looking to implement your own HPC solution on Azure, ensure you're reviewed the following topics:.
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