Performance Built Hyperconvergence from the Data Center to the Edge
Scale Computing Platform enhances support for performance-intensive use cases such as high-density Virtual Desktop Infrastructure (VDI) deployments, 3D Imaging/Modeling, Analytics, Artificial Intelligence, and GIS. With flexible deployment options from one appliance to clusters of multiple appliances, these appliances provide a highly available, high-performance, hyperconverged virtualization platform.
As remote work remains a long-term reality, organizations need to execute on getting systems in place to support all remote users with a virtualization strategy, whether they leverage applications in the cloud or work with very high-performance applications that require dedicated GPU and high frame buffer requirements for remote users hosted on-premises.
Scale Computing Platform for Accelerated VDI and High-Performance Applications
Improved Performance for Remote Work and High-Performance Applications
"Our RPO and RTO dramatically reduced from three days to a matter of minutes. We can now use this time to focus on other IT priorities making a real difference to the business. With Scale Computing we can align IT strategy with business growth."
IT Manager at Penlon
Penlon Medical Devices Turns to Scale Computing Platform
Scale computing clusters dramatically reduced management time, allowing the IT department to focus on other challenges rather than IT infrastructure. In addition, the high-performance technology offered scale-out architecture, providing Penlon with room to expand.
Why Higher Performance Computing on HCI?
Edge Computing Self-Assessment
We developed this Edge Computing Self-Assessment tool to help you think through the unique needs of your organization. While no assessment provides an exact formula, the personalized data our new tool offers can help you identify and explore your needs and preferences.
Related Resources
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Scale Computing HCI: Improving Performance for Remote Workers from the Data Center to the Edge
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