To keep up with the capacity and performance demands, IT is continually adding new storage systems to the data center. At Storage Switzerland, we find it is not uncommon for an organization to have seven or more different storage systems…
Blog Archives
What is SRMaaS?
Tagged with: AI, All-Flash, Clear Technologies, Cloud, Hyperconvergence, IoT, ML, SRM, SRMaaS
Posted in Blog
Posted in Blog
Webinar: Three Reasons SRM is Broken and How to Fix It
Storage Resource Management (SRM), given the growth in storage capacity, the increased emphasis on performance, and the number of storage systems IT is implementing, should be the most popular application category within the storage market. The reality is that SRM…
Tagged with: AI, All-Flash, Clear Technologies, Cloud, Hyperconvergence, IoT, ML, SRM, SRMaaS
Posted in Webinar
Posted in Webinar
Lightboard Video: What is SRM as a Service?
Storage Resource Management is too complicated, doesn’t provide a complete enough view of the storage infrastructure, and is incredibly expensive. As a result, most organizations count on vendor tools to capture storage data. Then they manually consolidate that data in…
Tagged with: AI, All-Flash, Clear Technologies, Cloud, Hyperconvergence, IoT, ML, SRM, SRMaaS
Posted in Video
Posted in Video
Lightboard Video: 5 Essential Storage Needs for Global 1000 Cloud Deployments
As the large enterprises look to the cloud to deliver agility and remove complexity and cost, data requirements and storage infrastructure often stands right in the way of achieving organizational goals. To get storage out of the way so IT…
Tagged with: AI, Archive, Consolidation, Datera, Flash, HCI, HDD, Hyperconverged, ML, Scale-Out, SDDC, SDS, Software Defined
Posted in Video
Posted in Video
Lightboard Video: Maximizing AI Performance with Dedicated Infrastructure
High-Performance Computing (HPC) and scalable Artificial Intelligence (AI) workloads typically use parallel file systems to make sure that all the computing nodes in a cluster can directly access the data they need without being bottlenecked by control nodes. Organizations running…
The Requirements of AI at Scale Storage Infrastructures
Artificial Intelligence (AI) at scale raises the bar for storage infrastructure in terms of capacity and performance. It is not uncommon for an AI or machine learning (ML) environment to expect growth to dozens if not hundreds of terabytes of…
StorageSwiss Report 64 – A Decade’s Worth of Predictions
The StorageSwiss Report is a weekly discussion about hot trends and topics going on in the storage, cloud, and data protection markets. We don’t just cut & paste press releases. We provide insight as to why or why not the…
Webinar: Designing Storage Infrastructures for AI Workloads
Artificial Intelligence (AI) and Machine Learning (ML) workloads are fundamentally different from any other workload. These workloads deal in data sets measured in dozens of petabytes of capacity, and large percentages of it can go from dormant to active at…
Are All-Flash Arrays All Wrong for AI and DL Workloads?
When designing a storage infrastructure for an artificial intelligence (AI) or deep learning (DL) workload, the default assumption is that an all-flash array (AFA) or something even faster must be at the heart of the design. The problem is as…
Tagged with: AFA, AI, All-Flash, Artificial Intelligence, Deep Learning, DL, Flash, Metadata, Object Storage, SwiftStack
Posted in Blog
Posted in Blog
Can The Storage Infrastructure Keep Pace with Data Center Modernization?
The modern data center is increasingly microservice or container-based. These workloads are dynamic and unpredictable. The datasets within these workloads range from thousands of large files to billions of small files. Artificial Intelligence (AI) and Machine Learning (ML) are being…
Tagged with: AI, Artificial Intelligence, EXTEN, Flash, IOPS, Machine Learning, ML, NVMe, NVMe-oF, SCSI, SSD
Posted in Briefing Note
Posted in Briefing Note
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