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.

Like their commercial counterparts, public sector entities want to extend their infrastructures and operations to the edge. The term “edge” has become overused and overloaded, and few consumers and technologists genuinely understand it in depth. Many fear the edge due to security concerns or the required changes affecting people, processes, and culture. Those that have adopted edge technology have done so in a fashion that limits its benefits. Simply “storing and ignoring” information without insight or passing all data from the edge back to the core or the cloud – where it degrades network performance and may arrive too late to be relevant – undervalues the edge. To fully get their return on their edge investments, public sector entities must implement “the intelligent edge.” During this Public Sector Tech Talk, Hewlett Packard Enterprise joins WWT to explore what that means and how to achieve the objective.

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.

More than ever, government agencies need to be able to deploy data wherever it needs to be whether that’s on-prem, in a private cloud or in the public cloud. Providing the flexibility to adapt to changing work conditions while containing costs and keeping data available, secure, and accessible is critical. But how? NetApp and WWT help the public sector build and fully realize a data fabric by providing a cloud lead, data centered approach to digital modernization. NetApp enables organizations to confidently manage and maintain control of their data across any cloud, accelerating innovation and IT responsiveness. By providing a data fabric that spans private cloud, service providers and hyperscale cloud providers, NetApp allows organizations to embrace the cloud on their own terms by integrating enterprise-class data management and control with the flexibility, speed and economics of the public cloud.

Two major concerns of today’s data center customers: analyzing greater volumes of data more quickly while protecting privacy by keeping it safe at rest and in motion. Join WWT's Vimesh Patel as he hosts a conversation with server infrastructure experts Zach Splaingard - WWT Technical Solutions Architect and Jason Lamb - Intel Cloud & SDI Technology Strategist. The group will explore the pressing challenges our public sector agencies are facing when balancing performance and security requirements of their data centers and how Intel’s latest 3rd Generation Xeon Scalable Processor can address these.

The way data centers are built for the public sector today is different than in the past. Government agencies demand a resilient design that allows them to provide vital services 24/7. This requires speed, efficiency, flexibility, redundancy, and scalability to meet connectivity and processing demands for mission-critical operations, no matter the location. During this Public Sector Tech Talk, APC by Schneider Electric joins WWT to provide an overview of government data center design and planning, discuss current trends in sustainability, and share best practices for future-proofing your data center.

As the federal government continues to deliver on its data-driven culture, agencies need better ways to interact with data through storage that is secure, simple, fast and accessible. A challenge for many agencies, however, is the need to balance legacy IT with demands to rapidly meet pressing mission needs. To overcome this challenge, there are five IT priorities or principles that must be addressed. This Public Sector Tech Talk episode will discuss how government agencies must adopt the 5S’s – security, simplicity, scalability, sustainment/support and speed – in order to successfully move toward a more modern data experience. It will focus on the most effective way for agencies to protect, manage and store data.

We are bringing back some of our favorite TEC37 episodes! Software-Defined Data Centers (SDDC) are designed to overcome the drawbacks of traditional IT infrastructure to offer the accelerated delivery of consistent data center services. Despite the performance gains, some organizations have been hesitant to adopt a SDDC environment. Tune into this TEC37 encore to find out more!

In this TEC37 encore, we explore why many organizations hesitate to take a single-vendor approach when implementing a software-defined data center (SDDC) due to fear of vendor lock-in. Vendor lock-in can occur when an organization exclusively depends on one vendor for products or services, making them unable to use another vendor without significant switching costs. While the concern around vendor lock-in is valid and should generally be avoided, SDDC is an exception to this rule because of its focus on the software layer and the importance of choosing infrastructure components that best support the software platform. Join host Robb Boyd as he speaks with WWT’s Sean Hicks and James Harless — Technical Solutions Architects, Intel’s Jason Lamb — Cloud Solutions Strategist, and Dell’s Pat Dooley — HCI Specialist. They’ll discuss why a single-vendor approach might be your best move for an optimal SDDC environment.