IBM Launches Advanced Storage Solutions Designed to Simplify Data Accessibility & Availability Across Hybrid Clouds

Company unveils plans to ship new container-native software defined storage solutions designed to help companies expand data availability across complex hybrid clouds for greater business performance and resilience;

Releases new IBM Elastic Storage Systems that are designed to provide scalability at double the performance of previous models, for faster access to enterprise data

IBM announced major innovations across its storage portfolio designed to improve the access to, and management of, data across increasingly complex hybrid cloud environments for greater data availability and resilience.

First, the company announced plans to launch a new container-native software defined storage (SDS) solution, IBM Spectrum Fusion in the second half of 2021. The solution will be designed to fuse IBM’s general parallel file system technology and its data protection software to give businesses and their applications a simple and less complex approach to accessing data seamlessly within the data center, at the edge and across hybrid cloud environments.

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In addition, IBM introduced updates to its IBM Elastic Storage System (ESS) family of high-performance solutions that are highly scalable and designed for easy deployment: the revamped model ESS 5000, now delivering 10% greater storage capacity and the new ESS 3200 which offers double the read performance of its predecessor.

As hybrid cloud adoption grows, so too does the need to manage the edge of the network. Often geographically dispersed and disconnected from the data center, edge computing can strand vast amounts of data that could be otherwise brought to bear on analytics and AI. Like the digital universe, the edge continues to expand, creating ever more disassociated data sources and silos. According to a recent report from IDC, the number of new operational processes deployed on edge infrastructure will grow from less than 20% today to over 90% in 2024 as digital engineering accelerates IT/OT convergence. And By 2022, IDC estimates that 80% of organizations that shift to a hybrid business by design will boost spend on AI-enabled and secure edge infrastructure by 4x to deliver business agility and insights in near real time.

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“It’s clear that to build, deploy and manage applications requires advanced capabilities that help provide rapid availability to data across the entire enterprise – from the edge to the data center to the cloud,” said Denis Kennelly, General Manager, IBM Storage Systems. “It’s not as easy as it sounds, but it starts with building a foundational data layer, a containerized information architecture and the right storage infrastructure.”

Guardant Health, one of the leading precision oncology companies, is dedicated to helping conquer cancer globally through use of its proprietary blood tests, vast data sets, and advanced analytics. The company is committed to helping patients across the cancer care continuum live longer, healthier lives. The company’s data and high-performance computing platforms turn massive amounts of genomic data into actionable insights for oncologists, researchers, and the biopharmaceutical industry, with unparalleled speed and throughput. Several years ago it turned to IBM to help it build a data foundation for its platform knowing that it needed to scale its data infrastructure to serve the tens of millions of patients around the world, and across the cancer care continuum.

“We manage large scale compute clusters demanding high data throughput to a large number of compute nodes,” said Kumud Kalia, CIO, Guardant Health. “IBM Spectrum Scale’s parallel filesystem delivers high performance, while the ESS systems provide the data throughput our genomic pipelines require. I look forward to continued collaboration with IBM to further innovate on this platform.”

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