Blog Archives

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

Tagged with: , , , , , , , , , ,
Posted in Blog

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: , , , , , , , , , ,
Posted in Video

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

Tagged with: , , , , , , , , , ,
Posted in Blog

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

Tagged with: , , , , , , , , , ,
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

Tagged with: , , , , , , , , , , , , ,
Posted in Blog

Silos of Clusters – Is this the End Result of Data Center Modernization?

Applications like Elastic, Hadoop, Kafka and TensorFlow typically operate on scale-out architectures built from dozens, if not hundreds of servers, which act as nodes in the application’s cluster. Many organizations now use a mix of these applications to derive the

Tagged with: , , , , , , , ,
Posted in Blog

New eBook: Hyperscale Performance, Is NVMe Enough?

Hyperscale architectures that support Elastic, Hadoop, and Kafka, often vary wildly between organizations and even within each organization. Each workload often needs its own cluster and IT teams are constantly trying new technology within those clusters, trying to improve performance.

Tagged with: , , , , , , , ,
Posted in Blog

Meet The CEO: MemVerge’s Charles Fan

Workloads like artificial intelligence (AI), machine learning (ML), big data analytics, the Internet of Things (IoT) and data warehousing need storage memory-levels of performance. Charles Fan, CEO of MemVerge, has a vision for making this possible without disrupting the application

Tagged with: , , , , , , , ,
Posted in Webinar

SlideShare: Will Your Backup Architecture Meet Tomorrow’s SLAs? 3 Steps to Make Sure!

Organizations, application owner and users all have much higher expectations of IT than ever before. They expect IT to recover real-time data instantaneously and recall aged data very quickly. These expectations mean that backup architectures are getting stretched at both

Tagged with: , , , , , , , , , ,
Posted in Slideshare

On Demand Webinar: Will Your Backup Architecture Meet Tomorrow’s SLAs? 3 Steps to Make Sure!

Organizations, application owner and users all have much higher expectations of IT than ever before. They expect IT to recover real-time data instantaneously and recall aged data very quickly. These expectations mean that backup architectures are getting stretched at both

Tagged with: , , , , , , , , , ,
Posted in Webinar

Enter your email address to follow this blog and receive notifications of new posts by email.

Join 22,250 other followers

Blog Stats
  • 1,566,298 views