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…
Blog Archives
Lightboard Video: 5 Essential Storage Needs for Global 1000 Cloud Deployments
Tagged with: AI, Archive, Consolidation, Datera, Flash, HCI, HDD, Hyperconverged, ML, Scale-Out, SDDC, SDS, Software Defined
Posted in Video
Posted in Video
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…
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
Does All-Flash Kill Data Management?
Most of today’s modern storage systems have a scale-out design, meaning they can expand to meet almost all of the data center’s capacity requirements. Also, since an increasing number of these systems are all-flash, they can meet most data center’s…
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
2020 Will Be THE Year for NVMe-oF
Technology rarely has “a year.” In most cases, what is that technology’s year is the accumulation of previous years’ worth of work until one year pushes the technology over the top in terms of adoption. With that admission, 2020 will…
Can Current Storage Infrastructure Meet the AI at Scale Demand?
In our last blog we covered the challenges that AI at scale creates for storage infrastructures. To support the coming wave of AI applications, storage infrastructures need to deliver a tremendous amount of storage capacity with the ability to retain…
Overcoming the DRaaS Time Compromise
Disaster Recovery as a Service (DRaaS) looks great on paper. DRaaS vendors tell organizations that they can eliminate their disaster recovery site and recover on-demand, in the cloud. The potential for cost savings abounds. Organizations have the potential to reduce…
Tagged with: Cloud, Disaster recovery, DRaaS, Flash, Hyperconverged, Hypervisor, Hypervisors, NFS, NVMe, SDDC
Posted in Briefing Note
Posted in Briefing Note
Lightboard Video: Why is NOW the Time for SDS?
As a term, software-defined storage (SDS) has been around for over a decade. The concept of abstracting storage software from the storage hardware is even older, predating Y2K. Despite its time on the market and many apparent advantages, SDS adoption…
