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Other literature type . 2025
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Presentation . 2025
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2025
License: CC BY
Data sources: Datacite
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Modern Storage for Modern HPC and AI Environments

Authors: Trinder, Ben;

Modern Storage for Modern HPC and AI Environments

Abstract

In today's modern landscape, the requirements and challenges of adding storage to an HPC environment have evolved. Networks are 800G and beyond. HPC data sets are shared or sourced across the WAN. Environments are stretched from data centres to the cloud. Traditional spinning disks with hardware RAID controllers presenting block storage to individual servers may not be suitable for your modern HPC environment. Storage demands continue to grow faster than storage capacities - management and archiving is needed. How do you ensure only the right data is using up your valuable storage? Do you implicitly archive all your data using automation, or do you explicitly archive only the data when you choose? This session covers how storage has evolved, with Flash NAND speeds approaching that of system RAM, shared-nothing architectures, Kubernetes-defined storage platforms, archive workflows and more. From NVMe storage in individual servers, on-premises clustered Flash arrays to software-defined storage that spans multiple DCs, we discuss how the landscape has changed and what technologies can solve these modern challenges.

Keywords

Research Compute

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    Impact byBIP!
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    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green