HPE enhances storage intelligence solutions


Hewlett Packard Enterprise (HPE) announced new innovations across its intelligent storage platforms to help customers unlock their data’s potential, drive actionable insights into new revenue streams, and deliver impact to their businesses. HPE introduced Advancements in its Artificial Intelligence for Operations (AIOps) platform, HPE InfoSight; expansion of HPE Cloud Volumes, a multicloud storage service, to the United Kingdom and Ireland; HPE Memory-Driven Flash, a new class of enterprise storage built with storage class memory (SCM) and non-volatile memory express (NVMe); and an enhanced partnership for secondary workloads with Cohesity to help customers accelerate their journey to hybrid cloud.

HPE InfoSight is expanding into workload management by adding machine-learning intelligence functionalities that reduce risk and manual work when planning for new workloads.

HPE Cloud Volumes is expanding service capabilities and global reach with expansion into UK and Ireland in 2019 to service UK and European customers requiring local cloud data access; support for leading container platforms including Docker and Kubernetes to speed DevOps as well as testing and development of cloud-native apps and hybrid cloud workloads, as well as completed SoC 2 Type 1 certification for customers with stringent compliance controls and HIPAA compliance for healthcare customers.

HPE Memory-Driven Flash will be available December 2018 for HPE 3PAR as a simple, non-disruptive upgrade, and is expected in 2019 for HPE Nimble Storage.

The partnership with Cohesity combines the web-scale simplicity and efficiency of Cohesity software with HPE’s big data and storage infrastructure and services. The expanded resell agreement, which has now qualified HPE Apollo and HPE DL 380 servers, enables customers to consolidate backup and secondary data over hybrid cloud.

Rajesh Dhar, Senior Director, Hybrid IT, HPE India said, “Customers using intelligent storage can reap the benefits of AI and stop worrying about their infrastructure. Instead, they can focus on getting more out of their data, whether it be uncovering new revenue opportunities by moving and monetizing data in the cloud and edge, or by extracting the right data insights to improve their products and business models.”


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