Artificial Intelligence (AI) is a broad term that can apply to various computing tasks, including machine learning, deep learning, and big data analytics. Many AI projects are in a proof of concept stage, but CIOs and IT Managers need to…
Blog Archives
Developing an NVMe over Fibre Channel Strategy
Most All-Flash Arrays (AFA) are setup as block devices connected via a Fibre Channel (FC) Storage Area Network (SAN). The deterministic nature of FC and its inherent low latency are an ideal match for AFAs. As data centers begin to…
SwiftStack for AI, ML and DL
How to Build a Multi-Cloud Data Pipeline for AI, ML and DL Artificial intelligence (AI), machine learning (ML) and deep learning (DL) are experiencing rapid adoption in a number of use cases, including autonomous vehicles, pharmaceutical drug research, predictive maintenance,…
Tagged with: AI, Artificial Intelligence, Cloud, Deep Learning, DL, HDD, Hybrid, Machine Learning, Metadata, ML, NFS, Object Storage, SMB, Software Defined, SwiftStack
Posted in Briefing Note
Posted in Briefing Note
Making HPC Available to the Masses – Dell Technologies HPC Briefing Note
With businesses beginning to rely on analytics, machine and deep learning (ML and DL), and artificial intelligence (AI) to run daily processes and generate competitive advantage, high-performance computing (HPC) is becoming more applicable outside of its traditional niche use cases,…
New eBook: Do AI and High Velocity Analytics Require a New File System?
Even though the workloads are only a few years old, the typical file system used in AI and High Velocity Analytics was created decades ago. These file systems, while parallel in nature, were optimized for large file, high bandwidth environments,…
New eBook – Selecting a File System for AI and High-Velocity Analytics Workloads
As Artificial Intelligence, Machine Learning and Deep Learning workloads go mainstream, organizations are struggling with how to develop a storage infrastructure to best meet the unique challenges of these workloads. AI/ML workloads typically include hundreds, if not thousands of servers…
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.…
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…
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…
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…
