Migrating to the hybrid cloud stands to allow businesses to balance agility, cost, performance, and security requirements. However, the complexity of implementing a global management structure that accounts for all data and that gets that data where it needs to…
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…
Artificial Intelligence workloads push current IT architectures to their extremes. For the first time both computing horsepower and All-Flash Storage I/O can be overwhelmed by AI demands. GPUs from companies like Nvidia have largely solved the computing problem but the…
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…
Organizations are moving to the cloud but according to a recent Osterman Research study, only 14% of companies have completed that transformation. The study clearly identifies data storage as an area where IT can easily accelerate their cloud transformation journey.…
Adoption of hyperconverged infrastructure (HCI) continues to soar, with a slew of vendors promising to eradicate storage complexity and to radically reduce IT costs. Unfortunately, many HCI solutions fail to keep promises made, especially as these architectures scale. Simplifying storage…
Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) workloads often start as skunk works projects within an organization. After the proof of concept and testing they move into production, which means storage performance and capacity demands for the…
As Storage Switzerland previously blogged, non-volatile memory express (NVMe) access protocols stand to add value to a host of applications, ranging from the performance-intensive newer workload set (e.g. artificial intelligence) to more traditional Tier 1 applications (e.g. Microsoft SQL Server).…
The boom in data growth and usage makes maximizing the utilization of storage resources more important than ever before. The silos of storage infrastructure that have typically existed in enterprise data centers are becoming further fragmented, as storage managers deploy…
Consolidating storage into a single, or even a few storage systems is a big project. Once the project is complete, IT’s job is not over. The next job for IT is to make sure storage remains consolidated. Temptations to allow…
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