How to Overcome the Obstacles in High Performance Computing in the Cloud

Despite the benefits, several organizations are still hesitant to shift their HPC workloads to the cloud because of concerns about cost, security, and performance. With today's clouds, these assumptions are out of date and, in general, incorrect.

Fremont, CA: Cloud computing contributes to the democratization of High-Performance Computing by putting powerful computational capabilities in the hands of more academics, engineers, and companies who may not have access to adequate on-premises infrastructure. The flexibility and scalability of the cloud provide nearly infinite capacity, removing wait times and large job queues. Access to new and changing services and applications makes it simple to evolve and update workflows, such as merging AI with HPC. Organizations simply pay for the capacity they use when using HPC in the cloud, and there is no risk of on-premises infrastructure becoming old or underutilized. Furthermore, cloud-based services offer limitless innovation by delivering faster results and greater flexibility. AWS empowers enterprises to establish HPC clusters on demand, rather than waiting for equipment to be built, enhancing business insights and organizational productivity.

Despite the benefits, several organizations are still hesitant to shift their HPC workloads to the cloud because of concerns about cost, security, and performance. With today's clouds, these assumptions are out of date and, in general, incorrect. HPC on AWS, powered by Intel® Xeon® Scalable processors, provides the most elastic, scalable cloud infrastructure for running HPC applications, and the choice of services makes it easier than ever to get started quickly, securely, and affordably.

Cost Management

The cost of running HPC on the cloud is a key concern for many enterprises. According to a recent market survey performed by a third party for AWS, nearly half (49%) of participants claimed cost and cost-management were hurdles. When calculating the cost of cloud-based HPC systems, enterprises should keep in mind that a simple TCO analysis may not always reveal the whole story. On-premises demand HPC resources are frequently overutilized, and lost productivity as a result of an overloaded system has huge ramifications for firms that place a high value on the speed of invention. Moving HPC workloads to the cloud also eliminates the need for three to five-year technology and infrastructure refresh cycles, assuring that innovation continues at a rapid rate.

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