Blog Archives

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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Dealing with the Polarization of Unstructured Data

Quantum Xcellis Scale-out NAS Briefing Note Unstructured data is polarizing. On one end, a large portion of unstructured data needs almost no performance, it just needs to be retained in case it is needed in the future. On the other

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Why Do Primary Storage Providers Resist the Public Cloud?

Public cloud storage is highly scalable and very cost effective. It also happens to be located next to an almost infinite supply of compute. Why then do most primary storage vendors pretend the resource doesn’t exist? The answer is quite

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Predicting WAN Performance – Disaster Recovery’s Missing Link – Apposite Briefing Note

Most storage systems today have the ability to replicate data to another storage system at another site. If the storage system doesn’t have that capability, then there are plenty of third-party software solutions that perform the function. Even if the

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What is Cloud Adjacent Storage? – INFINIDAT Briefing Note

Cloud adjacent storage is storage positioned within close proximity to a data center owned by a cloud provider. It enables compute the cloud provider hosts to have high performance, low latent access to data across traditional storage protocols. The challenge

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Protecting MongoDB, Cassandra, Hadoop – Datos IO Briefing Note

Data center modernization usually includes the organization moving to modern cloud applications like MongoDB, Cassandra and Hadoop. Like most new initiatives a forgotten element is data protection. These environments are particularly challenging to protect because they are designed to run

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StorageShort: Best Practices for 2018 – Eliminate Bad Practices

There are two storage habits that IT professionals should try to eliminate in 2018. The first is the practice of buying more primary storage when the current primary storage system reaches its capacity. The second is counting on the backup

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The Cloud Storage Consistency Problem

Cloud storage like Amazon S3 is scalable and economical, and it is also highly available. But one thing it is not is consistent. Lack of consistency is the primary reason many organizations struggle with cloud migration. Many production applications need

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Meet The CEO of Violin Systems

Ebrahim Abbasi is a turnaround specialist. That is exactly what fit the need of Violin Systems; a turnaround. He was hired prior to Violin’s sale of assets to Quantum Strategic Partners (QSP) and guided it through that period. Now, Violin

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What’s the Role of Object Storage in Backup?

Object storage systems are typically software-based solutions that run on commodity servers, which are clustered to create a single pool of storage. As a result, object storage solutions tend to be very cost-effective from a-price-per-GB perspective. These systems also have

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