• HPE’s new EdgeLine portfolio enhancements will enable customers to run storage-intensive applications and additional core data center functions within remote edge locations.
• HPE’s new GreenLake Hybrid Cloud offering will appeal to hybrid cloud customers that struggle with things like cost and management complexity but won’t disrupt the wider market.
At its Discover event in Las Vegas a last week, Hewlett Packard Enterprise (HPE) unveiled several new solution updates and strategic initiatives which, it believes, will transform the way businesses consume, deploy and operate data center technologies. First, HPE announced plans to invest US$4 billion over the next four years to develop technologies that support enterprise edge computing. Edge computing promises to transform the way data centers are deployed and managed and the type of workloads they support. It enables the operation and allocation of enterprise IT resources – including compute, storage, networking, data management, and analytics – at locations that are closer to the points of data generation, and to the end users of digital content and applications.
HPE already has a number of products that support enterprise edge computing initiatives. These include its EdgeLine hyperconverged infrastructure systems, which are specifically designed for deployment in remote locations, often far from central data centers. In Vegas, HPE revealed that it was increasing the storage allocation available on its EL1000 and EL4000 models, from 4TB to 48TB, thanks to a new hardware add-on. The additional storage will allow EdgeLine to support more storage-intensive use cases at the edge of enterprise networks, including databases, artificial intelligence, and video applications. In addition, HPE announced that it had validated several enterprise software stacks for use with the EL1000 and EL4000 systems, including VMware, Microsoft SQL Server, SAP HANA and Citrix XenDesktop. By validating entire software stacks, rather than lighter, tailored versions, HPE aims to help customers run virtualization and compute functions at the network edge with the same tools they use in their primary data centers.
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