Blog Archives

Lightboard Video: Object Storage Isn’t Just For Cold Data Anymore

Object Storage, because of its ability to cost effectively store petabytes plus of data, is often thought of as a digital dumping ground. While object storage is an ideal location for inactive data, customers aren’t deriving the full benefit of

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WekaIO for AI and High-Velocity Analytics

Storage Switzerland has previously discussed the problems that legacy storage file systems have when it comes to serving modern workloads such as artificial intelligence (AI) and high-velocity analytics. We have also explored the qualities that a modern file system requires.

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Lightboard Video: Is Now the Time to Move to NVMe Flash?

A common question from IT professionals is when is the right time to start purchasing NVMe Arrays over SAS-based All-Flash Arrays. The answer as always is, it depends, but as George Crump, Lead Analyst with Storage Switzerland discusses in this

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Lightboard Video: The Importance of Flash Architectures in Real-Time Workloads

Data centers are adjusting to the flash performance opportunity and are scaling their traditional environments much larger, pushing the storage systems’ architecture much harder than when all-flash arrays were first introduced. These organizations are also introducing real-time applications, like artificial

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15 Minute Webinar – Finding the Right File System for AI and ML Workloads

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

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Debunking AI and High Velocity Analytics Benchmark Results

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

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Lightboard Video: Obtain VM-specific Visibility and Control to Optimize Your Storage Infrastructure

Virtualization has become the de facto standard for the majority of enterprise applications, but most management tools cannot provide virtual machine (VM) level visibility and control over input/output (I/O) performance and other capabilities such as replication. Steve Phillips, Principal Systems

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Designing a File-System for AI and High-Velocity Analytics

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

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Why Legacy File Systems Can’t Keep up With AI and High-Velocity Analytics

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

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