Artificial intelligence (AI) is becoming solidified as an important tool for competitive advantage, used by organizations of all sizes and across industries. Legacy network-attached storage (NAS) systems, however, are not equipped to provide the levels of throughput that these workloads…
Today’s world is multi-cloud, as IT uses a range of cloud service providers to address varying compliance, cost, feature and performance requirements. This results in a highly complex environment for IT to provision, manage and monitor. File storage environments are…
Artificial Intelligence, Machine Learning and High Velocity Analytic workloads are going mainstream. Enterprises of all types and sizes want to seize the opportunity their data presents. As these workloads move from development to production, organizations face a significant challenge with…
Benchmarks are necessary when trying to understand the performance characteristics of a particular storage system in a particular environment. The problem is they are susceptible to manipulation by vendors to get the best marketing results. The Standard Performance Evaluation Corporation…
Big data is largely heralded as the new end all be all for modern competitive advantage, that is underpinning storage requirements and buying decisions. Big data indeed can be invaluable in helping businesses to streamline operations, to unlock new revenue…
For over a decade Network Attached Storage (NAS) was the go to file storage device for organizations needing to store large amounts of unstructured data. But unstructured data is changing. While large file use cases are still prevalent, small file…
The volume of data that must be backed up continues to increase, to meet compliance regulations and to serve secondary business purposes such as business analytics. At the same time, recovery requirements are becoming more demanding. In the event of…
Enterprises’ storage capacity requirements continue to grow, with many approaching petabyte (PB) scale. At the same time, a greater diversity of workloads is being served, creating the need for multiple storage protocols to address a range of performance, retention and…
Our previous blog highlighted the challenges of supporting artificial intelligence (AI), machine learning (ML) and deep learning (DL) workloads with legacy file systems. Control node bottlenecks, inferior (or lack of) non-volatile memory express (NVMe) drivers, and inefficient capacity utilization are…
Unstructured data continues to grow unabated and traditional network attached storage (NAS) systems simply can’t keep pace. These systems are often cloud ignorant, can’t deal with the growing population of small file workloads and provide almost no insight into the…
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