adopt technologies that accelerate their research and outcomes”

HyperDrive® Storage Manager

Silicon Valley-based enterprise storage startup, SoftIron, this month launched HyperDrive® Storage Manager, promising to radically simplify the management of Ceph software and storage hardware.

Ceph is the leading

open-source software that underpins software-defined storage (SDS). However, while Ceph is undoubtedly powerful, it is also incredibly complex, requiring specialist technicians to deploy and manage the software. This complexity has been an obstacle for Ceph deployment for many

insights from their data. In addition, integration with Kubernetes and Pure Service Orchestrator means IT teams can deliver an AI-infrastructure with cloud-like elasticity. Hyperscale AIRI allows enterprises to scale beyond Nvidia DGX-1 to DGX-2. ‘Businesses from a variety of industries are discovering that AI is necessary to tackle existing problems and create new opportunities,’ said Matt Burr, general manager of FlashBlade, Pure Storage. ‘For example, healthcare organisations from around the world are using AI to bring advancements to treatments and quality of

organisations in the past. Addressing this challenge,

SoftIron created HyperDrive Storage Manager: a feature- rich management tool that reduces the overhead of Ceph management, allowing it to be easily adopted by organisations for the first time.

All this is delivered via a sleek and intuitive online interface which is ideal for storage administrators or help desk personnel who are responsible for managing storage configuration or shares. To find out more about

SoftIron and Storage Manager, or to book a demo, visit or email

care. AI is complex and in its early stages, which means the solutions built to enable AI must be straightforward and user-friendly. Hyperscale AIRI is designed to bring supercomputing capabilities to pioneers of real-world AI, without the complexities that often occur when scaling across multiple racks.’ AIRI is built to enable data

architects and scientists to operationalise AI at scale. In a blog post from Cisco in January, senior product marketing manager Maggie Smith stated: ‘FlashStack for AI workloads provides a proven, validated design for these highly data-intensive | @scwmagazine

workloads. With FlashStack for AI workloads, organisations can deploy a validated architecture for AI workloads that reduces design risks in building a data, compute, and storage infrastructure for the AI data pipeline, and help achieve better business outcomes. ‘FlashStack is a converged

infrastructure designed to deliver outstanding performance and reliability. With the addition of the UCS C480 ML, FlashStack for AI is extending the existing infrastructure to support AI/ ML workloads without adding new infrastructure silos,’ said Todd Brannon, senior director of product marketing for UCS Portfolio, Cisco.

Cloud technology While AI may steal the headlines, HPC is still generating advances in storage technology. Cloud environments have made significant progress over the last five to ten years, going from what was seen as fringe or niche technology to a much more ubiquitous platform, particularly with the advances made by cloud giants such as Google and Amazon. However, while cloud

bursting can be effective, the use of in-house cloud environments are still popular for large scale HPC systems, as the staff often have experience dealing with parallel file systems. In March hybrid cloud

storage provider Qumulo announced that its technology has been chosen for the National Renewable Energy Laboratory’s (NREL) Computational Science Center. NREL is the US Department

of Energy’s primary national laboratory for renewable energy, and energy efficiency research and development. The organisation focuses on research for renewable power technologies, sustainable transportation, energy efficiency and energy systems integration. NREL required a high-

capacity storage solution for its researchers and engineers to store, access and manage their unstructured data. It has deployed three clusters of Qumulo storage to date, a four- node cluster on the Qumulo Capacity Series QC40; a four- node cluster on the Qumulo Capacity Series QC208, and a four-node cluster on the HPE90.

The lab is using Qumulo

storage for its researcher home directories on the new Eagle System, the newest HPC system at NREL; as well as for administrative and researcher NAS requirements, and replication of all HPC NAS requirements.

‘With the impact of climate change, it’s crucial for organisations such as NREL to adopt technologies that accelerate their research and outcomes. The lab’s HPC environment has a broad range of demands encompassing multiple use cases, a large number of users, and long- term data retention,’ said Molly Presley, Qumulo’s director of global product marketing ‘With Qumulo’s incredibly scalable architecture and real-time file analytics, the NREL team can gain better insight into their data, and in turn focus more effectively on their mission to drive innovation in energy efficiency and renewable energy technologies.’

April/May 2019 Scientific Computing World 9 organisations such as NREL to

“With the impact of climate change, it’s crucial for

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