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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

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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

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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

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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

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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

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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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Disaster Recovery Workshop: Dealing with New Requirements, Expectations, and Threats

Disaster Recovery (DR) is changing, and DR plans need to change with it. Legislative bodies want companies to not only prove their ability to recover from a disaster, but they have specific guidelines as to how long that effort can

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Is Your Storage Architecture Ready for the Coming AI Wave?

Artificial Intelligence (AI) is a broad term that can apply to various computing tasks, including machine learning, deep learning, and big data analytics. Many AI projects are in a proof of concept stage, but CIOs and IT Managers need to

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Posted in Blog

Is it Time to Rethink NAS for Unstructured Data?

Network Attached Storage (NAS) systems were once the primary storage destination for all unstructured data but with file-counts soaring past one billion and with machines replacing users as the primary creators of data, the industry is seemingly moving past NAS

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Posted in Blog

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