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Pure Storage

  • Hardware & IoT
  • 3 Products
  • 3 Case Studies
Drive Intelligence from your Data

Jun 28

Pure Service Orchestrator: Now GA!

Container adoption is increasing rapidly, but lack of persistent storage support for dynamic containerized applications threatens to slow this trend. We

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Mar 04

5 Steps for a Successful Multicloud Strategy

Multicloud strategies are all about agility, but they can also create data management challenges. Here are five steps to help your strategy succeed.

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Mar 04

5 Steps for a Successful Multicloud Strategy

Multicloud strategies are all about agility, but they can also create data management challenges. Here are five steps to help your strategy succeed.

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Mar 03

vSphere and Pure: A Simple and Quick Path to Kubernetes

As more organizations move to Kubernetes, Pure Storage FlashArray and VMware vSphere with Tanzu can help make the journey smoother and faster. 

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Products and Case Studies
Pure Storage - Pure Storage - Airi

Deploy deep learning at scale with AIRI, the first real world AI-ready infrastructure for enterprises, featuring Pure Storage FlashBlade and NVIDIA DGX-1 servers.

Pure Storage - Pure Storage - Pure1

Gain data storage management, analysis and support with Pure1. Nothing to install, simply login from any device to monitor your entire FlashArray & FlashBlade fleet.

Pure Storage - Pure Storage - Flashblade

Learn why FlashBlade has been recognized as the best innovation in AI hardware, providing file and object storage that is fast and simple to deploy, scale and manage.

Case Study : Ziff | Breaking Through The Ai Analytics Barrier With Flashblade

Learn how ZIFF uses FlashBlade from Pure Storage to deliver AI and deep learning services to clients, saving time and thousands of dollars.

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Case Study : Zenuity Develops Vehicles With Ai

Automotive company races ahead on the road to autonomous driving.

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Case Study : Paige.Ai Leverages Ai To Combat Cancer

Learn how PAIGE.AI is leveraging the potential of AI to transform the pathology and diagnostics industry from highly qualitative to a more rigorous, quantitative discipline.

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