NAS Storage

NAS Storage

Using Metadata to Overcome “Data Blindness” - File data is growing so quickly that it is difficult for enterprise storage managers to keep up. A larger volume and greater variety of files is being stored across a range of locations and devices. At the same time, it
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.
AI Requires a File Storage Overhaul - 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
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
What is Small Data? - 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
Your Path to Smarter Secondary Storage - 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
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
Tape is Dead Throw Everything into the Cloud - The cloud is a valuable tool that almost every data center should leverage. It is, however, just that, a tool. The cloud is not the be all end all answer to all of IT’s problems. It can solve many of
The Requirements of Next Generation File Servers - File servers used to be a way for users to share information within the organization, typically within the same building. Organizations of all sizes use Windows File Servers to meet this requirement. Times have changed and the need to collaborate
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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