Scale Computing HC3 Now Supported by Parallels RAS

Scale Computing HC3 Now Supported by Parallels RAS

June 18, 2019 Off By Hoofer

Today Scale Computing announced its HC3 product family is now fully supported by Parallels Remote Application Server 17 (Parallels RAS). The KVM-based hypervisor in Scale Computing’s HC3 works with Parallels RAS to enable administrators to rapidly provision and manage virtual machines (VM) thin clones centrally from Parallels RAS Console to make VDI solutions faster, more affordable and easier to use.

Scale Computing HC3 is a hyperconverged platform that combines servers, storage and virtualization capabilities in a single appliance to provide a data center in a box. The platform’s simple, secure and low-maintenance option to traditional desktop PCs works exceptionally well in VDI environments across various verticals, including education and health care.

“Scale Computing HC3 is designed to make it easier for administrators to deploy, manage and grow their VDI environments,” said Dave Demlow, VP Product Management and Support at Scale Computing. “The addition of Parallels RAS support advances this benefit by leaps and bounds with its ability to provision VDI VMs on a moment’s notice and rapidly clone as many as needed.”

Parallels RAS automatically generates and deploys VDI desktops on demand, enabling administrators to create and deploy guest VMs on the fly and create a master virtual desktop once and rapidly clone hundreds of virtual desktops on their HC3 cluster. They also can quickly and securely deliver Windows applications and desktops with a consistent user experience on any device and from any location.

“Parallels is proud to work with Scale Computing to make VDI deployments faster and easier than ever before,” said Nick Dobrovolskiy, Parallels’ Senior Vice President of Engineering and Support. “The combination of Parallels RAS and Scale Computing HC3 will help administrators meet the virtual desktop needs of their users with less stress and more focus on the things that matter the most in their computing environments.”

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