Scale Computing HCI: Improving Performance for Remote Workers from the Data Center to the Edge

Scale Computing Introduces the New HC1250DFG and HC5250DFG with Nvidia Tesla T4 GPU and Intel® Xeon® Scalable Processors

Scale Computing, a market leader in edge computing, virtualization and hyperconverged solutions, has introduced new HC3 infrastructure appliances that deliver the extra processing power of Nvidia GPUs. For power-users on virtual desktops or computing-intensive applications for design or analytics, the HC1250DFG and HC5250DFG appliances engage high-performance GPUs to provide increased speed and processing efficiency. Scale Computing is the only technology provider delivering high performance applications from the data center to the edge on the same software platform and interface.

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“Enterprise and SMB customers have a need for performance-intensive use cases, both in their data centers and at the edge”

As remote work becomes a long term reality, organizations continue to execute on getting systems in place to support all remote users, 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. These HC3 hyperconverged appliances are designed to enhance 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.

The new HC3 infrastructure appliances delivering the superior processing power from Nvidia GPUs join other recently introduced HCI appliances designed to meet the needs for performance computing for both the enterprise and the SMB and from the core data center to the edge.

  • The HC3250DF stands out from other HCI solutions designed for performance computing with its ease of use, and brings a high amount of speed, density, throughput, and power to enable VDI for many more users per node while keeping future growth in focus. Unlike more complex infrastructure solutions that try to emulate classic SAN storage infrastructure, the Scale Computing HC3250DF is easier to deploy, manage, scale out, and its NVMe storage architecture requires no manual configuration and consumes less system RAM, resulting in more RAM being available to virtual machines and their applications.
  • The HE150 appliance is a small, all-flash, NVMe storage-based compute appliance that delivers all of the simplicity, efficiency, and enterprise-ready virtualization associated with Scale Computing’s HC3 platform. Built specifically for sites that need highly available infrastructure, the HE150 can be deployed almost anywhere, without requiring a rack or server closet. Taking up only the space needed to stack three smartphones, it also includes high availability clustering, rolling upgrades and integrated data protection.

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“Enterprise and SMB customers have a need for performance-intensive use cases, both in their data centers and at the edge,” commented Jeff Ready, CEO and co-founder, Scale Computing. “Scale Computing customers now don’t have to choose different platforms to manage their data center and edge computing needs, either for on site or remote workers The HC3 platform is able to handle any application needs necessary.”

All Scale Computing HC3 appliances feature intelligent automation for self-healing and high availability to keep clusters running through component and appliance failures, as well as integrated disaster recovery capabilities to protect data and workloads to remote sites for fast failover and recovery. These capabilities enable applications to achieve maximum uptime even when local IT resources and staff are scarce, making the HC1250DFG and HC5250DFG appliances ideal application platforms for core data center to edge computing use cases for retail, industrial, transportation, manufacturing, finance, healthcare, education, remote office/back office, and mobile platforms.

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data centerGPUsNEWSremote WorkersScale Computing
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