If you want to get on the quickest path to AI without having to invest in new and expensive accelerators and/or GPUs, then you’ll want to see how an HPC cluster based on Intel® Xeon® processors can be optimized to expedite your journey.
High-performance computing (HPC) has long been critical to running the large-scale simulation and analytic workloads that advance scientific progress, product innovation, and national competitiveness. With increasing numbers of artificial intelligence (AI), high-performance data analytics (HPDA), and modeling/simulation workflows, there is a need to expand high-performance compute infrastructure to tackle the challenges of these workflows. This convergence is expanding HPC’s scope and making HPC infrastructure more essential than ever.
Two major factors are driving this expansion of HPC’s scope. One is the data deluge. Annual digital data output is predicted to reach or exceed 163 zettabytes by 2025. This data must be analyzed for meaningful actionable insights, increasing the need for high-performance infrastructure.
Big Science projects are key contributors to the deluge. CERN’s Large Hadron Collider will generate 50 petabytes of data in 2018, and a planned high-luminosity upgrade in 2026 will increase the number of events detected per second by tenfold. The world’s largest radio telescope, the Square Kilometer Array (SKA), will analyze 10 billion incoming visibility data streams, scrutinizing over 1.5 million objects every ten minutes to detect astrophysical phenomena such as pulsar signals or flashes of radio light. Next-generation use cases are also increasing the production of data. An autonomous vehicle is estimated to generate 4 TB per day. A connected airplane will produce ten times that amount, and an automated factory will generate approximately one petabyte daily. A smart hospital will generate 3 TB per day.
A new class of Intel® Xeon® Scalable processors code-named “Cascade Lake advanced performance” has been designed with the demands of HPC and technical computing, big data, plus artificial intelligence (AI) scenarios in mind. The new processor will tackle the challenges that advanced applications and a growing volume of data present with their need for faster and more powerful hardware and storage technologies.