Sigma2 Acquires New National Storage Infrastructure

January 21, 2022

Jan. 21, 2022 — Sigma2 has acquired a new national storage infrastructure. The storage system is based on technology from IBM and is supplied by the Norwegian IT company Move AS. The contract between Sigma2 and Move was signed on Dec. 31, 2021. The data infrastructure will be installed at Lefdal Mine Datacenter and will be operational beginning summer 2022.

A critical tool for researchers in Norway

Ledfal Mine Datacenter

The original national storage infrastructure, NIRD (National Infrastructure for Research Data), is from 2017. Modern research generates large amounts of data and requires corresponding storage capacity. In order to be competitive, Norwegian researchers depend on having access to e-infrastructure at a high international level. Together with the national supercomputers, NIRD forms the backbone of the national e-infrastructure for research and education in Norway.

With the acquisition of the new generation NIRD, researchers in Norway will get access to new and future-oriented services for all scientific disciplines that require resources for secure storage, processing and publication of research data. The new infrastructure offers, among other things, adaptable application services, support for file and object storage and several protocols, and application programming interfaces (APIs).

“Storing and processing large amounts of data in a good and secure way is important for Norway as a research nation and for its ability to create value. Now the national storage infrastructure is being strengthened and this is good news for researchers of all scientific disciplines,” says State Secretary Oddmund Løkensgard Hoel (Sp).

Technical specifications

At initial installation, the storage capacity of the new NIRD will be as much as 32 petabytes (PB) and can in the future be expanded to 70 PB if needed. In comparison, the current storage infrastructure has 12 PB of storage space in two separate instances and has almost reached the maximum available storage capacity. The estimated life cycle of this type of system is up to six years, and several components go out of production during the year and are therefore no longer supported by the supplier.

The contract with Move will secure resources for the storage infrastructure for the next five to six years. With an I/O throughput of 229 GB/s, the new NIRD will support demanding workflows, such as artificial intelligence/machine learning and data-intensive analysis. The new NIRD is based on IBM’s Spectrum Scale, Spectrum Discover and Spectrum Protect. Spectrum Discover provides new possibilities for metadata processing and allows the researcher to have better control over and insight into stored data. The use of object storage and APIs provides opportunities for collaboration across projects and borders.

Meets future demand

The new NIRD storage infrastructure supports Norwegian research in line with the national guidelines for access and reuse of research data and the FAIR principles. FAIR is an international standard for handling research data, which states that data must be Findable, Accessible Interoperable and Reusable.
Data stored via the national e-infrastructure consists of both active project data and data that is openly available in the research data archive. For researchers who use the service, storage will be perceived as both performance-efficient and cost-effective, at the same time as the system will support complex scientific workflows such as data analysis and artificial intelligence.

“Norway as a research nation is dependent on having a well-coordinated e-infrastructure with a solid offer within calculation and storage services. The data volume from research is constantly increasing, and it is important to ensure scalability and flexibility to meet existing and future demand,” says General Manager of Sigma2, Gunnar Bøe.

The first national system to enter the new data center

Sigma2 works closely with the universities of Bergen, Oslo, Tromsø and NTNU to provide e-infrastructure services. The collaboration is called NRIS (Norwegian research infrastructure services), and existing national supercomputers and storage facilities are located on campuses in Trondheim and Tromsø.

Sigma2 recently signed a contract with Lefdal Mine Datacenter (LMD) in Nordfjordeid for data center capacity for future national facilities. The new NIRD will be the first of the new national facilities to be placed there. The hardware will arrive from IBM’s factory in Mexico to Nordfjordeid at the end of January, while the containers NIRD will be installed in will arrive from the German manufacturer Rittal.

About Move AS

Move AS is a specialist in IT infrastructure. The company delivers market-leading technology, operated services, integration and management of Hybrid Multi-Cloud solutions, Cyber security and data analysis to public and private companies throughout Norway.

About IBM

IBM is one of the world’s leading technology companies focusing on hybrid cloud solutions and artificial intelligence. Secure access and analysis of data are central, and the core of the solutions they deliver to Move, which is their partner in Norway.


Source: Sigma2

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

Hyperion Study Tracks Rise and Impact of Linux Supercomputers

May 17, 2022

That supercomputers produce impactful, lasting value is a basic tenet among the HPC community. To make the point more formally, Hyperion Research has issued a new report, The Economic and Societal Benefits of Linux Super Read more…

ECP Director Doug Kothe Named ORNL Associate Laboratory Director

May 16, 2022

The Department of Energy's Oak Ridge National Laboratory (ORNL) has selected Doug Kothe to be the next Associate Laboratory Director for its Computing and Computational Sciences Directorate (CCSD), HPCwire has learned. K Read more…

Google Cloud’s New TPU v4 ML Hub Packs 9 Exaflops of AI

May 16, 2022

Almost exactly a year ago, Google launched its Tensor Processing Unit (TPU) v4 chips at Google I/O 2021, promising twice the performance compared to the TPU v3. At the time, Google CEO Sundar Pichai said that Google’s datacenters would “soon have dozens of TPU v4 Pods, many of which will be... Read more…

Q&A with Candace Culhane, SC22 General Chair and an HPCwire Person to Watch in 2022

May 14, 2022

HPCwire is pleased to present our interview with SC22 General Chair Candace Culhane, program/project director at Los Alamos National Lab and an HPCwire 2022 Person to Watch. In this exclusive Q&A, Culhane covers her Read more…

Argonne Supercomputer Advances Energy Storage Research

May 13, 2022

The lack of large-scale energy storage bottlenecks many sources of renewable energy, such as sunlight-reliant solar power and unpredictable wind power. Researchers from Lawrence Livermore National Laboratory (LLNL) are w Read more…

AWS Solution Channel

shutterstock 1103121086

Encoding workflow dependencies in AWS Batch

Most users of HPC or Batch systems need to analyze data with multiple operations to get meaningful results. That’s really driven by the nature of scientific research or engineering processes – it’s rare that a single task generates the insight you need. Read more…

Supercomputing an Image of Our Galaxy’s Supermassive Black Hole

May 13, 2022

A supermassive black hole called Sagittarius A* (yes, the asterisk is part of it!) sits at the center of the Milky Way. Now, for the first time, we can see it. The resulting direct image of Sagittarius A*, revealed this Read more…

Google Cloud’s New TPU v4 ML Hub Packs 9 Exaflops of AI

May 16, 2022

Almost exactly a year ago, Google launched its Tensor Processing Unit (TPU) v4 chips at Google I/O 2021, promising twice the performance compared to the TPU v3. At the time, Google CEO Sundar Pichai said that Google’s datacenters would “soon have dozens of TPU v4 Pods, many of which will be... Read more…

Q&A with Candace Culhane, SC22 General Chair and an HPCwire Person to Watch in 2022

May 14, 2022

HPCwire is pleased to present our interview with SC22 General Chair Candace Culhane, program/project director at Los Alamos National Lab and an HPCwire 2022 Per Read more…

Supercomputing an Image of Our Galaxy’s Supermassive Black Hole

May 13, 2022

A supermassive black hole called Sagittarius A* (yes, the asterisk is part of it!) sits at the center of the Milky Way. Now, for the first time, we can see it. Read more…

Royalty-free stock illustration ID: 1919750255

Intel Says UCIe to Outpace PCIe in Speed Race

May 11, 2022

Intel has shared more details on a new interconnect that is the foundation of the company’s long-term plan for x86, Arm and RISC-V architectures to co-exist in a single chip package. The semiconductor company is taking a modular approach to chip design with the option for customers to cram computing blocks such as CPUs, GPUs and AI accelerators inside a single chip package. Read more…

Intel Extends IPU Roadmap Through 2026

May 10, 2022

Intel is extending its roadmap for infrastructure processors through 2026, the company said at its Vision conference being held in Grapevine, Texas. The company's IPUs (infrastructure processing units) are megachips that are designed to improve datacenter efficiency by offloading functions such as networking control, storage management and security that were traditionally... Read more…

Exascale Watch: Aurora Installation Underway, Now Open for Reservations

May 10, 2022

Installation has begun on the Aurora supercomputer, Rick Stevens (associate director of Argonne National Laboratory) revealed today during the Intel Vision event keynote taking place in Dallas, Texas, and online. Joining Intel exec Raja Koduri on stage, Stevens confirmed that the Aurora build is underway – a major development for a system that is projected to deliver more... Read more…

Intel’s Habana Labs Unveils Gaudi2, Greco AI Processors

May 10, 2022

At the hybrid Intel Vision event today, Intel’s Habana Labs team launched two major new products: Gaudi2, the second generation of the Gaudi deep learning training processor; and Greco, the successor to the Goya deep learning inference processor. Intel says that the processors offer significant speedups relative to their predecessors and the... Read more…

IBM Unveils Expanded Quantum Roadmap; Talks Up ‘Quantum-Centric Supercomputer’

May 10, 2022

IBM today issued an extensive and detailed expansion of its Quantum Roadmap that calls for developing a new 1386-qubit processor – Kookaburra – built from modularly scaled chips, and delivering a 4,158-qubit POC system built using three connected Kookaburra processors by 2025. Kookaburra (Australian Kingfisher) is a new architecture... Read more…

Nvidia R&D Chief on How AI is Improving Chip Design

April 18, 2022

Getting a glimpse into Nvidia’s R&D has become a regular feature of the spring GTC conference with Bill Dally, chief scientist and senior vice president of research, providing an overview of Nvidia’s R&D organization and a few details on current priorities. This year, Dally focused mostly on AI tools that Nvidia is both developing and using in-house to improve... Read more…

Royalty-free stock illustration ID: 1919750255

Intel Says UCIe to Outpace PCIe in Speed Race

May 11, 2022

Intel has shared more details on a new interconnect that is the foundation of the company’s long-term plan for x86, Arm and RISC-V architectures to co-exist in a single chip package. The semiconductor company is taking a modular approach to chip design with the option for customers to cram computing blocks such as CPUs, GPUs and AI accelerators inside a single chip package. Read more…

Facebook Parent Meta’s New AI Supercomputer Will Be ‘World’s Fastest’

January 24, 2022

Fresh off its rebrand last October, Meta (née Facebook) is putting muscle behind its vision of a metaversal future with a massive new AI supercomputer called the AI Research SuperCluster (RSC). Meta says that RSC will be used to help build new AI models, develop augmented reality tools, seamlessly analyze multimedia data and more. The supercomputer’s... Read more…

AMD/Xilinx Takes Aim at Nvidia with Improved VCK5000 Inferencing Card

March 8, 2022

AMD/Xilinx has released an improved version of its VCK5000 AI inferencing card along with a series of competitive benchmarks aimed directly at Nvidia’s GPU line. AMD says the new VCK5000 has 3x better performance than earlier versions and delivers 2x TCO over Nvidia T4. AMD also showed favorable benchmarks against several Nvidia GPUs, claiming its VCK5000 achieved... Read more…

In Partnership with IBM, Canada to Get Its First Universal Quantum Computer

February 3, 2022

IBM today announced it will deploy its first quantum computer in Canada, putting Canada on a short list of countries that will have access to an IBM Quantum Sys Read more…

Supercomputer Simulations Show How Paxlovid, Pfizer’s Covid Antiviral, Works

February 3, 2022

Just about a month ago, Pfizer scored its second huge win of the pandemic when the U.S. Food and Drug Administration issued another emergency use authorization Read more…

Nvidia Launches Hopper H100 GPU, New DGXs and Grace Superchips

March 22, 2022

The battle for datacenter dominance keeps getting hotter. Today, Nvidia kicked off its spring GTC event with new silicon, new software and a new supercomputer. Speaking from a virtual environment in the Nvidia Omniverse 3D collaboration and simulation platform, CEO Jensen Huang introduced the new Hopper GPU architecture and the H100 GPU... Read more…

PsiQuantum’s Path to 1 Million Qubits

April 21, 2022

PsiQuantum, founded in 2016 by four researchers with roots at Bristol University, Stanford University, and York University, is one of a few quantum computing startups that’s kept a moderately low PR profile. (That’s if you disregard the roughly $700 million in funding it has attracted.) The main reason is PsiQuantum has eschewed the clamorous public chase for... Read more…

Leading Solution Providers

Contributors

Nvidia Dominates MLPerf Inference, Qualcomm also Shines, Where’s Everybody Else?

April 6, 2022

MLCommons today released its latest MLPerf inferencing results, with another strong showing by Nvidia accelerators inside a diverse array of systems. Roughly fo Read more…

D-Wave to Go Public with SPAC Deal; Expects ~$1.6B Market Valuation

February 8, 2022

Quantum computing pioneer D-Wave today announced plans to go public via a SPAC (special purpose acquisition company) mechanism. D-Wave will merge with DPCM Capital in a transaction expected to produce $340 million in cash and result in a roughly $1.6 billion initial market valuation. The deal is expected to be completed in the second quarter of 2022 and the new company will be traded on the New York Stock... Read more…

Intel Announces Falcon Shores CPU-GPU Combo Architecture for 2024

February 18, 2022

Intel held its 2022 investor meeting yesterday, covering everything from the imminent Sapphire Rapids CPUs to the hotly anticipated (and delayed) Ponte Vecchio GPUs. But somewhat buried in its summary of the meeting was a new namedrop: “Falcon Shores,” described as “a new architecture that will bring x86 and Xe GPU together into a single socket.” The reveal was... Read more…

Industry Consortium Forms to Drive UCIe Chiplet Interconnect Standard

March 2, 2022

A new industry consortium aims to establish a die-to-die interconnect standard – Universal Chiplet Interconnect Express (UCIe) – in support of an open chipl Read more…

Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?

January 13, 2021

The rapid adoption of Julia, the open source, high level programing language with roots at MIT, shows no sign of slowing according to data from Julialang.org. I Read more…

Nvidia Defends Arm Acquisition Deal: a ‘Once-in-a-Generation Opportunity’

January 13, 2022

GPU-maker Nvidia is continuing to try to keep its proposed acquisition of British chip IP vendor Arm Ltd. alive, despite continuing concerns from several governments around the world. In its latest action, Nvidia filed a 29-page response to the U.K. government to point out a list of potential benefits of the proposed $40 billion deal. Read more…

Nvidia Acquires Software-Defined Storage Provider Excelero

March 7, 2022

Nvidia has announced that it has acquired Excelero. The high-performance block storage provider, founded in 2014, will have its technology integrated into Nvidia’s enterprise software stack. Nvidia is not disclosing the value of the deal. Excelero’s core product, Excelero NVMesh, offers software-defined block storage via networked NVMe SSDs. NVMesh operates through... Read more…

Google Launches TPU v4 AI Chips

May 20, 2021

Google CEO Sundar Pichai spoke for only one minute and 42 seconds about the company’s latest TPU v4 Tensor Processing Units during his keynote at the Google I Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire