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
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
Understanding Software-Defined File Systems
Software-Defined Storage (SDS) is a frequently used term that can have different definitions depending on the vendor using the term. SDS solutions can be block, file, or object-based. File systems are almost always software-defined and nearly always run on top…
When is Object Storage NOT the Answer?
Object storage plays an essential role in today’s data center, but that does not mean that organizations need to give up on their network-attached storage (NAS) solutions. While the capacity demands of unstructured data are growing at alarming rates, the…
Tagged with: Cloud, Data Sharing, Hybrid, IoT, M&E, Metadata, Migration, NAS, NFS, Qumulo, Retention, SMB, Unstructured data
Posted in White Paper
Posted in White Paper
Requirements for Unstructured Data at Petabyte Scale
Unstructured data is hard to manage. When an organization’s unstructured data assets cross the petabyte threshold, though, controlling the data set brings on an entirely new set of challenges. Most legacy network-attached storage (NAS) systems struggle to manage 100 terabyte…
Creating a Petabyte-Scale Capable High Performance File Storage System
Modern unstructured workloads are setting new standards in terms of not only capacity requirements but also performance. These workloads either need to analyze and ingest hundreds of thousands of files or they need to quickly read files over a terabyte…
Creating a Cloud Strategy for Unstructured Data
Unstructured data is a growing problem for enterprise organizations. An increasing number of these companies have file counts in the billions and storage capacities over 1PB. These organizations are looking to the cloud to help mitigate some of their unstructured…
Where Did All the NAS Vendors Go?
In 2010, there were almost a dozen major NAS vendors on the market. Today, the market has shrunk, ironically at a time when organizations need unstructured data storage solutions more than ever. The primary reasons for the shrinking of the…
Flash Second – Getting Data Analytics Ready for Flash Storage
Accelerating a data analytics project is critical for storage vendors that sell storage systems designed for big data analytics, artificial intelligence (AI), and machine learning (ML). These vendors all thrive by helping their customer get answers to their questions faster…
Tagged with: AI, Analytics, Artificial Intelligence, Buisiness Intelligence, Data Privacy, Machine Learning, Metadata, Migration, ML, MLaaS, Promethium
Posted in Blog
Posted in Blog
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