AI and storage
AI places heavy demands on all IT infrastructure. Storage is a key part of that infrastructure and must be specified to handle a variety of I/O access requirements, from lots of small files and known and regular use cases to as-yet unknown AI needs and large repositories of unstructured data.
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News
29 Apr 2025
VeeamON shows Veeam on Linux, RAG from backup, and cloud features
Veeam showed a new Linux appliance, features in Veeam Backup & Replication that will see it run corporate backups as RAG data, and new cloud features that include Entra ID backup Continue Reading
By- Yann Serra, LeMagIT
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News
25 Apr 2025
UK MoJ crime prediction algorithms raise serious concerns
The Ministry of Justice is using one algorithm to predict people’s risk of reoffending and another to predict who will commit murder, but critics say the profiling in these systems raises ‘serious concerns’ over racism, classism and data inaccuracies Continue Reading
By- Sebastian Klovig Skelton, Data & ethics editor
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Feature
25 Aug 2020
Storage analytics: How AI helps storage management
We look at storage analytics products that measure key metrics in storage hardware, single-vendor and multi-vendor tools, and how AI-based storage management and AIOps is emerging Continue Reading
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News
08 Jul 2020
Pavilion adds object storage to NVMe Hyperparallel Flash Array
Pavilion responds to customer demand for object storage to support AI/ML, big data analytics workloads with multi-controller NMVe flash storage architecture Continue Reading
By- Antony Adshead, Storage Editor
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Feature
08 Jul 2020
Decision points in storage for artificial intelligence, machine learning and big data
Artificial intelligence and machine learning storage is not one-size-fits-all. Analytics work differs, and has varied storage requirements for capacity, latency, throughput and IOPS. We look at key decision points Continue Reading
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Feature
20 Mar 2020
Computational storage: What is it and what are its key use cases?
Computational storage brings the CPU to the storage and so boosts system performance by tackling processing tasks, such as near the edge or in AI/machine learning workloads Continue Reading
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Feature
03 Sep 2019
Scale-out NAS hits the spot for large datasets, AI and machine learning
Despite the rise of cloud and object storage, scale-out NAS is a key choice for the big datasets increasingly prevalent in artificial intelligence and machine learning scenarios Continue Reading
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Feature
16 Aug 2019
How to deploy NVMe flash storage for artificial intelligence
We run the rule over NVMe flash as a storage choice for AI applications and the key decision points in form factor and hardware specification Continue Reading
By- Eric Ebert
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Feature
14 Jun 2019
AI storage: Machine learning, deep learning and storage needs
Artificial intelligence workloads impact storage, with NVMe flash needed for GPU processing at the highest levels of performance – and there are other choices right through the AI data lifecycle Continue Reading
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News
20 Mar 2019
Pivot3 to target Azure, Google clouds and enhance AI/ML
Hyper-converged infrastructure maker Pivot3 plans to extend backup for its appliance clusters to additional public clouds and optimise service levels across storage tiers and cache Continue Reading
By- Antony Adshead, Storage Editor
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Feature
04 Sep 2018
SaaS HR a seedbed for innovations in AI, people analytics
The leading edge of 'intelligent' HR technology resides in SaaS, fueled by the cloud's computing power and storage. But getting machines to predict human behavior is challenging. Continue Reading
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News
02 Aug 2018
NetApp AI storage packages OnTap all-flash FAS A800, Nvidia
NetApp follows Pure Storage's lead, adds Nvidia GPUs to its all-flash arrays to build a storage product designed for data scientists and others dabbling in artificial intelligence. Continue Reading
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News
18 Apr 2018
IBM admits poor storage results but promises to do better
IBM’s first-quarter 2018 results shows failings in its storage business, while cognitive computing via Watson remains its main growth engine Continue Reading
By- Cliff Saran, Managing Editor