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…
Blog Archives
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
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…
Lightboard Video: The Art of Big and Fast Data
Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) projects can all have varying types of data associated with them. Some projects consist of a relatively small number of huge files, and others have an incredibly high number of…
Tagged with: AI, Analytics, Artificial Intelligence, Big data, Deep Learning, DL, IoT, Machine Learning, Memory, MemVerge, ML
Posted in Video
Posted in Video
Is Your Storage Ready for the Data-Driven Economy? – SwiftStack Briefing Note
Organizations need to re-think their storage architectures for the data-driven economy. How an organization captures, stores, and analyzes data, can dictate how successful it might be in this new economic model where data drives organizations. The data-driven economy is not…
Tagged with: AI, Artificial Intelligence, AS, Cloud, Container, Deep Learning, DL, Flash, Hard disk drive, Retention, Scale, SwiftStack, Unstructured data
Posted in Briefing Note
Posted in Briefing Note
Virtual Instruments Briefing Note – Virtana Announcement
The data center, in most cases, is a mixture of legacy and modern applications that exist, both on-premises and in the cloud. To provide organizations with a competitive advantage, IT needs to use and manage these resources efficiently. IT professionals…
Tagged with: AI, Analytics, Artificial Intelligence, Cloud, Hybrid, Machine Learning, Migration, ML, Virtana, Virtual Instruments
Posted in Briefing Note
Posted in Briefing Note
Understanding the Challenges That AI at Scale Creates
Artificial Intelligence (AI) is in its infancy and the requirements it places on the storage architectures that support these workloads are not widely understood. As a result, an organization starting an AI initiative can initially get away with using an…
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