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Leave Legacy behind with the Pure Storage Platform

Pure Storage

But when it comes to powering modern applications, the technologies of the past just don’t cut it. 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. New workloads are challenging us like never before.

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A Leader Again in the Gartner Magic Quadrant for File and Object Storage Platforms

Pure Storage

Beyond the headlines and the hype , file and object applications are inherently demanding workloads. 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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Optimize Your Cloud Storage Bill

Pure Storage

These choices punish your applications. You provision for expected capacity needs. Are capacity and performance tied? If you delete data in the app, does the capacity usage go down? While the product in the back is different: Azure, AWS, on-premises, to the application or infrastructure consumer it is the same.

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FlashBlade S3 and ElasticSearch: The Journey to Disaggregation

Pure Storage

FlashBlade S3 and ElasticSearch: The Journey to Disaggregation by Pure Storage Blog As data continues its inevitable upward growth, the focus on separation of compute and storage becomes an increasingly important part of scale-out applications. FlashBlade was built to scale with modern applications like ElasticSearch.

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How to Outsmart the GPU Shortage with Storage Optimized for AI

Pure Storage

Originally designed for rendering images and graphics, GPUs have found an unexpected home in AI applications. As AI projects scale and become more sophisticated, the demand for computational power and storage capacity will surge. How Do GPUs Power AI Projects?

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33 Data Protection Predictions from 19 Experts for 2024

Solutions Review

With portability, organizations have the ability to deploy workloads across different cloud service providers without having to adapt to each environment and with no changes needed to the application or the infrastructure. Visibility, for example, is a crucial and often-overlooked first step towards data intelligence.

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Data on Kubernetes at Scale: Why Your CSI Driver Can’t Keep Up

Pure Storage

In our first blog post about data on Kubernetes, “ Embracing Data on Kubernetes ,” we discussed the different types of data that live in your organization, where data on Kubernetes makes sense, and how Kubernetes is now commonly used to run applications plus persistent data all in one stack. days, it has come a long way since then.