Mainstreaming of HPC Leading to Huge Enterprise Opportunities

How HPC enables companies to solve complex problems, build better products, and increase revenue

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Every company is looking to get more value from their data, and find ways to get to market faster, with better products that match what customers need. To achieve this more and more enterprises are looking to high performance computing (HPC) solutions to handle increasingly complex problems, rapidly and in a cost effective manner.

HPC was originally developed for computationally intensive government, scientific, and academic applications such as nuclear modeling, weather and climate prediction, astrophysics, and fundamental research in chemistry and biology. But today, it is an increasingly prevalent tool applied towards a broad set of major enterprise, social, and machine learning challenges across many industries.

Companies are using HPC to improve customer service by analyzing increasingly large volumes of customer data; mine log data to improve enterprise network security; and simulate product development to improve quality, accelerate time-to-market, and reduce development costs. Many organizations are further applying HPC towards forecasting which customer segments are at risk of defecting to the competition, uncovering new opportunities to increase revenue through cross-selling, and understanding why some products fail while others succeed. These are just a few of the many more universal HPC applications that demonstrate its growing influence in the enterprise.

In addition to its proliferation across industries, HPC is now being applied in companies of different sizes. Certainly, many Fortune 500 companies have been implementing HPC programs for years, but more recently, it has become an accessible option for mid-size companies as well. HPC clusters have become simpler to deploy and manage, as well as having the capability to offer specific configurations that address typical use cases. This has helped a wide range of companies deploy HPC on-premises or in a cloud environment.

For example, oil and gas companies rely on HPC for exploration modeling, financial services firms build and continuously test complex models to guide investment decisions, and manufacturers leverage HPC to model new designs and simulate products ahead of building prototypes. The more iterations of a product an enterprise can simulate and analyze, the better the product will perform when released to market. That’s why automobile companies rely on HPC to simulate car accidents - tens of thousands of times; it allows them to build safer vehicles, faster and with less expense than crashing physical cars into walls!

Analytics is a major driver for HPC in the enterprise, and with it the enterprise can create sophisticated models and continuously change variables. HPC’s long history of tackling large scale scientific problems has resulted in designs that allow for results from complex analytics to be delivered more rapidly than can be achieved with a single server or distributed array of compute resources. This is driven in part by balancing platform resources - such as compute, memory, storage, and networking to provide sufficient performance and capacity. Balanced HPC platform solutions are helping companies in many industries improve both performance and cost models – including those companies that have been historically unable to utilize HPC due to their size.

Intel Scalable System Framework (Intel SSF) provides scalability and balance for HPC applications. Intel SSF is a flexible foundation for developing high performance, balanced, efficient and reliable HPC systems. It combines next generation Intel® Xeon processors, Intel® Xeon Phi™ processors, Intel® Omni-Path Architecture, Intel® solutions for Lustre* software and more. This allows organizations to accelerate innovation with breakthrough performance to run analytics workloads on a common infrastructure.

No matter what industry you’re in, insights fuel every breakthrough. As HPC aggressively moves beyond the scientific and academic communities, it enables companies to solve complex problems, build better products, and increase revenue by more swiftly and intelligently building better and higher-quality products.