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Why a Successful AI Strategy Starts with a Data Strategy

Pure Storage

7 Truths for AI’s Underlying Data Requirements An AI-friendly strategy should include data curation to prepare training data sets, making data accessible to the training and inference infrastructure, and integrating new AI tools and applications. The inference process also needs extremely fast I/O operations and high throughput.

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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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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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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.

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Everything You Need to Know About Business Continuity Plans

Erwood Group

Loss of Technology: Loss of technology addresses the loss of one or more core critical technologies including, applications, data, data center, and network, hosted and delivered by the Technology Department. Business Continuity Planning will be for the loss/unavailability of an individual or single applications. Assumptions.