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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Feature
29 May 2025
AI and compliance: Staying on the right side of law and regulation
Without careful planning, AI projects risk blundering into a legal and regulatory minefield. We look at the risks from hallucinations, basic errors and coming regulation Continue Reading
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Podcast
29 May 2025
AI compliance: Dealing with data change and proliferation
Podcast: We talk with Vigitrust CEO Mathieu Gorge about staying on top of compliance and artificial intelligence, where the danger is data that changes during AI processing and can also proliferate Continue Reading
By- Antony Adshead, Storage Editor
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Feature
24 Jul 2023
Generative AI: Automating storage and backup management
We look at how generative artificial intelligence is being deployed to automate monitoring of repetitive tasks and report on enterprise storage and backup, but also the limits to its implementation Continue Reading
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Podcast
08 Jun 2023
Podcast: Storage, backup, AI and data classification at RSA 2023
Much discussion at RSA 2023 about artificial intelligence, the risks to data protection, storage and compliance, plus risk and data classification, especially its impacts on access and data management Continue Reading
By- Antony Adshead, Storage Editor
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News
31 May 2023
Panasas to add S3 support to edge storage and cloud moves
Scale-out NAS maker – which specialises in large capacity for AI/ML and HPC – has come out of its on-prem shell and now plans further moves towards cloud-friendly object storage Continue Reading
By- Antony Adshead, Storage Editor
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News
28 Mar 2023
IBM Storage launched with backup appliance plan
Prosaically named brand will replace Spectrum products, while IBM rationalises offer for AI/ML, hybrid cloud and malware, which it sees as the backdrop to contemporary IT Continue Reading
By- Yann Serra, LeMagIT
- Antony Adshead, Storage Editor
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Podcast
01 Sep 2022
Podcast: Storage the key bottleneck for AI processing
We talk to Panasas about the need for storage that can cope with delivering high volumes of small files for artificial intelligence with the throughput and latency needed to service costly GPUs Continue Reading
By- Antony Adshead, Storage Editor
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Podcast
05 Aug 2022
Podcast: How storage AIOps is revolutionising hybrid cloud ops
We talk to Tintri about storage and AIOps, which is the application of AI and machine learning-based software to monitor storage infrastructure to be able to detect patterns and predict failure, the need to upgrade, and so on Continue Reading
By- Antony Adshead, Storage Editor
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News
04 May 2022
PeerGFS to add AI/ML anomaly detection to distributed file system product
Peer will add AI/ML-based anomaly detection as it ramps up security protection in its PeerGFS distributed file management software, with Linux server support also to come in 2022 Continue Reading
By- Antony Adshead, Storage Editor
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Feature
08 Apr 2022
Storage requirements for AI, ML and analytics in 2022
We look at what is needed for artificial intelligence and machine learning, and the pros and cons of block, file and object storage to store and access very large amounts of often unstructured data Continue Reading
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Tip
30 Dec 2021
The role of artificial intelligence in the future of content
AI will play a key role in the future of content, as it can simplify tasks, create new business apps and improve file storage. But these changes won't happen overnight. Continue Reading
By- Geoffrey Bock, Bock & Company
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News
10 Nov 2021
Vast Data: Big shifts promised for an AI future
Purveyor of Universal Storage says AI and GPU-based compute will dominate, and is set to benefit with its (relatively) cheap, deep and quick QLC-plus-Optane offer Continue Reading
By- Antony Adshead, Storage Editor
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Feature
26 Nov 2020
IP surveillance: The storage it needs, on-premise and in the cloud
Surveillance is changing, with the evolution from simple streams of sequential images to the application of AI to video, as well as an increasing move to use of the cloud Continue Reading
By- Antony Adshead, Storage Editor
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Feature
18 Nov 2020
All-flash object storage makes its way into the enterprise
Object storage isn't just for backups and archives anymore. All-flash offerings are being used for AI, machine learning and analytics. See what types of products are available. Continue Reading
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News
15 Sep 2020
Scality aims at high-performance object with Ring 8 all-flash
Object storage specialist – with file storage capability – aims at tier-1 use cases such as AI/ML, content delivery and some backup tasks with all-flash upgrade to Scality Ring 8 Continue Reading
By- Antony Adshead, Storage Editor
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News
01 Sep 2020
Pure aims at unified file and object and launches new QLC storage
Flash storage maker says unified storage in file and object is what is needed for contemporary analytics and AI workloads, while it launches a new all-QLC version of FlashArray//C Continue Reading
By- Antony Adshead, Storage 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