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Scaling Software Builds in Azure with FlashBlade in a Cloud-Adjacent Architecture

Pure Storage

Pure Storage ® , Azure, and Equinix have collaborated to develop a connected-cloud architecture for EDA and highly parallel HPC workloads, such as software build and testing. There are many advantages to this particular architecture. We conducted a performance test of this architecture. Parallel Build Experiment.

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Scaling Software Builds in Azure with FlashBlade in a Cloud-Adjacent Architecture

Pure Storage

Pure Storage ® , Azure, and Equinix have collaborated to develop a connected-cloud architecture for EDA and highly parallel HPC workloads, such as software build and testing. There are many advantages to this particular architecture. We conducted a performance test of this architecture. Parallel Build Experiment.

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TPUs vs. GPUs: What’s the Difference?

Pure Storage

GPUs are generally faster than CPUs for deep learning tasks, but the specialized architecture of TPUs often allows them to be faster than GPUs. Benchmarks comparing TPUs and GPUs in machine learning tasks have shown that TPUs often outperform GPUs in terms of training speed and efficiency.

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7 Habits of Successful Generative AI Adopters by Dormain Drewitz

PagerDuty

She credits a strong data architecture foundation as critical to moving quickly with generative AI. Yet, slow and onerous architectural reviews can kill innovation. How did Goswami and team strike a balance to move quickly, but not paint the architecture into a corner?

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How Pure Is Improving the World through People, Technology, and Business

Pure Storage

We’ve historically quantified everything from our product performance, to the lifetime cost savings of our Evergreen ™ architecture, and even the size of our operating manual (one tent card front and back ). . Our report describes our performance and sets future benchmarks in three key areas: technology, operations, and people.

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Demystifying Storage Complexity: The Hidden Tradeoffs with Some New Storage Solutions

Pure Storage

Contrary to what the performance benchmark results from this vendor with encryption off may convey, customers deploying this solution must choose between accepting a performance impact or paying additional costs to acquire SEDs. Forklift upgrades and wholesale migrations are painful, so long-term viability of any architecture is essential.

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7 Habits of Successful Generative AI Adopters by Dormain Drewitz

PagerDuty

She credits a strong data architecture foundation as critical to moving quickly with generative AI. Yet, slow and onerous architectural reviews can kill innovation. How did Goswami and team strike a balance to move quickly, but not paint the architecture into a corner?