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.

In 2020, Dell EMC introduced an innovation to the mid-range storage market: PowerStore. For good reason, customers came to us wanting to know more about PowerStore, especially the PowerStore X model. That's because PowerStore X includes installation of the VMware hypervisor, allowing applications to be embedded as virtual machines (VMs) directly on the appliance. Meaning, you now can run VMs natively on the storage array controllers, alongside having the benefits of a centralized storage array.  Given this capability, our customers wanted to know what use cases were best suited for PowerStore versus Dell EMC's leading hyper-converged platform, VxRail. 

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.