Pure Storage

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

Sep 15

Pure Delivers Hybrid Cloud with Amazon Web Services (AWS) Outposts Support

Pure Storage is proud to be part of the AWS Outposts Service Ready Program by achieving the Outposts Ready designation. Read the details.

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Sep 22

VMware Tanzu Kubernetes on FlashBlade® for ML/HPC Applications

In this post, I’ll focus on how to use VMware Tanzu for distributed machine learning (ML) and high-performance computing (HPC) applications. 

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Sep 22

Come Together: Pure and Veritas Partner to Increase Ransomware Resilience

Protect your business from ransomware attacks with FlashBlade and our joint solutions with Veritas.

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Sep 18

Using Pure Cloud Block Store and Microsoft Azure for DevTest

With Pure and Azure, you can efficiently replicate your data to the cloud which makes it a perfect target for DevTest. Read more.

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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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AWS - Machine Learning - Sep 24 - Blog Post:
Improved OCR and structured data extraction with Amazon Textract

Optical character recognition (OCR) technology, which enables extracting text from an image, has been around since the mid-20th century, and...

AWS - Machine Learning - Sep 24 - Blog Post:
Preventing customer churn by optimizing incentive programs using stochastic p...

In recent years, businesses are increasingly looking for ways to integrate the power of machine learning (ML) into business decision-making....

AWS - Machine Learning - Sep 24 - Blog Post:
Selecting the right metadata to build high-performing recommendation models w...

In this post, we show you how to select the right metadata for your use case when building a recommendation...

AWS - Machine Learning - Sep 24 - Blog Post:
Streamline modeling with Amazon SageMaker Studio and the Amazon Experiments SDK

The modeling phase is a highly iterative process in machine learning (ML) projects, where data scientists experiment with various data...

AWS - Machine Learning - Sep 24 - Blog Post:
Expanding Amazon Lex conversational experiences with US Spanish and British E...

Amazon Lex provides the power of automatic speech recognition (ASR) for converting speech to text, along with natural language understanding...

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