Pure Storage

SEPTEMBER 24, 2024

Legacy file storage systems, built on technology from 20 years ago, lock customers into archaic, rigid architecture they can’t easily change, even as application requirements evolve. Over time, these inflexible file architectures begin to take on a life of their own. One area in dire need of a new perspective is file services.

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Pure Storage

OCTOBER 11, 2024

The result is a single architecture, operating system, and control plane. This, along with usable capacity efficiency improvements across FlashBlade ® models from 68% to more than 82%, has significantly improved cost-per-terabyte economics.

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Pure Storage

SEPTEMBER 26, 2023

Companies are at different points along their path to disaggregation, but the overall direction to create efficient architectures that can be scaled in a “brick by brick” fashion is clearly seen in the existing cloud providers and just as important to on-prem solutions as well. Let’s look at an outline of the general steps.

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Pure Storage

OCTOBER 25, 2023

Tasks like training deep neural networks, which involve processing massive data sets and optimizing complex model architectures, require immense computational power. As AI projects scale and become more sophisticated, the demand for computational power and storage capacity will surge.

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Pure Storage

JULY 21, 2021

And when it comes to modern unstructured data, many of the traditional storage architectures, technologies, best practices, and principles of structured data won’t apply. Increasing capacity alone won’t suffice. . But first, they need a way to get a handle on it. This is new territory. What Is Unstructured Data? Object storage.

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Pure Storage

MARCH 6, 2024

With modern infrastructure architectures taking the front stage now, can your enterprise storage array keep up with the demands of high Create/Read/Update/Delete (CRUD) churn life cycles that are common in orchestrators such as Kubernetes?

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Pure Storage

JUNE 6, 2023

This includes FlashArray//C ™ for capacity-optimized workloads, FlashArray//X ™ for performance-optimized workloads, and the big boy FlashArray//XL ™ for the most demanding low latency, large-scale consolidation workloads. So let’s get started and take a look at a logical architecture diagram of what we’re about to build.

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