Blog Archives

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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SlideShare: Three Reasons Why NAS is No Good for AI and Machine Learning

Artificial Intelligence (AI) and Machine Learning (ML) are becoming mainstream initiatives at many organizations. Data is at the heart of AI and ML. Immediate access to large data sets is pivotal to successful ML outcomes. Without data, there is no

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Posted in Slideshare

AI Needs an NVMe-Optimized File System

Analytics is evolving from big data, machine learning to artificial intelligence. Machine learning is the analysis of data at rest, artificial intelligence (AI) is the analysis of data in real-time. Machine learning is predictive; AI is cognitive. The requirements of

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Webinar: Three Reasons Why NAS is No Good for AI and Machine Learning

Artificial Intelligence (AI) and Machine Learning (ML) are becoming mainstream initiatives at many organizations. Data is at the heart of AI and ML. Immediate access to large data sets is pivotal to successful ML outcomes. Without data, there is no

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Posted in Webinar

Storage for Deep Learning

Deep Learning is a machine learning method that uses algorithms to determine a predictable behavior by analyzing seemingly disparate types of data. Use cases include fraud prevention, image classification, speech recognition, and countless others. To deliver a frictionless interaction with

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ChalkTalk Video: High-Performance Storage for Machine Learning

Use cases like machine learning, deep learning and artificial intelligence all require massive amounts of performance. These systems use dedicated GPU accelerators for training machine learning algorithms and massive amounts of network bandwidth. These environments also push today’s all-flash systems

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How To Solve the Unstructured Data Paradox – WekaIO Briefing Note

There is a capacity and performance paradox to unstructured data that wastes IT budget and resources as IT tries to find the perfect solution. In terms of capacity, the organization has more and more data to store each year, and

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Posted in Briefing Note