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How to Achieve IT Agility: It’s All About Architecture

Pure Storage

How to Achieve IT Agility: It’s All About Architecture by Pure Storage Blog In our conversations with business and IT leaders, one overarching theme comes up again and again: “How can your company help me achieve my tactical and strategic IT goals, without straining my budget and resources?” The result is the antithesis of IT agility.

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Optimizing Performance and Cost Savings for Elastic on Pure Storage

Pure Storage

While some use it within their applications for search and indexing, others use it for log analysis where they analyze application, infrastructure, or security logs to trace problems and find root causes to issues. In addition, malware may be within an enterprise’s firewalls for weeks before it is detected.

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Beyond the Hype: The Truth behind the Marketing Claims of Many New Data Storage Platforms

Pure Storage

In addition, it can deliver upgrades that are 100% non-disruptively compliments of our Evergreen architecture to support future scale and upgrades. Every three to five years, customers must commonly repurchase entire storage capacities and retire their last generation of nodes.

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6 Common Infrastructure Storage Pitfalls to Avoid

Pure Storage

If you think about it, each of the six pitfalls could apply to (or be solved by) your FlashStack ® database and application infrastructure overall. FlashStack is supported by Cisco Validated Designs (CVDs), which are predefined architectures for the industry’s most common workloads. Outdated Legacy Architecture .

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TPUs vs. GPUs: What’s the Difference?

Pure Storage

TPUs are specialized processors designed by Google for AI applications built with TensorFlow. Their processing efficiency for tensor operations enables faster model training times, reduced infrastructure costs, and improved performance, all of which help drive advancements in AI research and applications. What Is a TPU? What Is a GPU?

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TPUs vs. GPUs: What’s the Difference?

Pure Storage

TPUs are specialized processors designed by Google for AI applications built with TensorFlow. Their processing efficiency for tensor operations enables faster model training times, reduced infrastructure costs, and improved performance, all of which help drive advancements in AI research and applications. What Is a TPU? What Is a GPU?

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How IT Can Embrace Digital Transformation and Energy Efficiency

Pure Storage

On the other hand, does anyone want to keep old technology that can’t handle today’s challenges? As enterprises tackle ambitious digital transformation and ESG initiatives in the coming years, it’s clear there’s an opportunity to make strides toward both—with the right technology. They want the technology to: .

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