The idea of edge computing is that sensor data needs rapid reactions and millisecond-range response times. Edge data sent to the core is used for business insight and immediate action. Core systems need instant operational reaction at the edge. And the cloud is a great place to put transitory workflows and to analyze things that will grow over time. With the number of edge computing devices continuing to grow exponentially year over year, designing IT architectures to capture, process, analyze, and derive deeper insights from that data will be one of the defining challenges of the next decade. And as with most challenges, it also opens exceptional opportunities to drive growth and success. Learn how WWT and HPE bring together hybrid technologies to solve complex problems quickly and efficiently.

As our ability to collect big data increases the need to be able to analyze the data also increases, having a unified high-performance architecture (HPA) under one canopy helps future-proof the enterprise's digital transformation journey. In this webinar, WWT's Earl Dodd and Seagate's Samantha Clarke will discuss how HPA brings together different technologies to solve complex problems quickly and efficiently.

In the past, only a chosen few public sector agencies and enterprises – those with deep pockets and the most advanced data and analytics requirements – had access to high-performance computing (HPC) solutions. Today, data lives everywhere. HPC has become integral to doing business – from predicting hurricanes and delivering clean water to manufacturing safe, efficient vehicles and developing and executing COVID vaccines and clinical trials. How do public sector entities integrate HPC into legacy infrastructures in a timely, cost-efficient manner without creating silos? What role do Artificial Intelligence (AI), the Internet of Things (IoT), and the edge play in deploying the infrastructure needed to solve today's and tomorrow's most complex problems? This episode offers insight into these and other questions about HPC in the public sector.

High performance computing (HPC) systems have empowered researchers at higher ed institutions to investigate and tackle some of the world's most complex problems for decades. Researchers have turned to artificial intelligence (AI) hardware and software solutions to advance their initiatives for similar duration. In the past, HPC and AI may have coexisted in the same lab, but did not easily integrate with one another. In the past few years, that's changed as these technologies have intersected creating an opportunity for converged HPC/AI platforms where the whole most definitely exceeds the sum of the parts. The result gives researchers access to unparalleled high-performance and acceleration from edge to cloud at every scale, changing the type and amount of science they can accomplish. Today we'll look at converged HPC/AI platforms, why they're critical to the ongoing success of higher ed institutions' research and future grant acquisition, and what to look for in a platform.