Cisco Hyperflex 4.0 helps with deploying HCI at edge locations

Cisco recently announced a new version of its HyperFlex platform. Cisco HyperFlex 4.0 is designed to help organizations meet essential requirements for deploying hyperconverged infrastructure (HCI) in edge environments, even at a global scale.

Today’s applications are increasingly diverse and distributed across multiple environments. This means datacenters must also have the flexibility to follow that application data to different environments. That’s basically the problem that HyperFlex 4.0 solves. But there are a few specific areas where this new platform improves over previous offerings. Here’s what you should know.

Simplified deployment

Deploying HCI can be a complicated undertaking, especially when doing so to multiple sites at scale. Previously, organizations have had to stage at central locations and then deploy their IT teams to each individual location for manual installs. But with HyperFlex 4.0, you get access to Cisco Intersight and HyperFlex Edge nodes that ship directly from the factory to edge sites along with everything you need to complete deployment.

In addition, HyperFlex Edge and Intersight also allow customers to simplify operations by deploying a hyperconverged architecture across core, edge, and hybrid cloud environments. You can also easily deploy clusters as small as 2-nodes and up to 4 nodes at scale and for different edge and branch locations.

HyperFlex 4.0 performance features

HyperFlex 4.0 is also getting a performance upgrade. According to Cisco, a high-performance HCI solution like HyperFlex can offer a number of benefits to organizations, including decreased need for expensive hardware and software licenses, less operational overhead, and overall cost savings.

To accomplish this goal, HyperFlex utilizes IntelOptang caching and NVMe capacity drives. Cisco has also added a new hardware offload engine called the HyperFlex Acceleration Engine. This optional add-on includes a PCIe card and an onboard FPGA that allows users to easily offload processing from the CPU, which essentially frees up those cycles to better handle application workloads.

Featured image: Freerange Stock

Annie Pilon

Annie Pilon is a freelance writer specializing in topics related to business, marketing, social media, and tech. She has a degree in journalism and marketing from Columbia College Chicago and currently works and lives in Michigan.

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