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Introducing the Pure//Launch Blog

Pure Storage

We’re excited to share our most recent updates for April 2024, which include external block storage for Azure VMware Solution (AVS), NVIDIA AI reference architectures for FlashBlade®, Purity//FB 4.4.0, delivers more capacity, better compliance, and increased user access. and Purity//FA 6.6.4. Purity//FB 4.4.0

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FlashStack for AI Checks the Boxes for Rapid AI Deployment at Any Scale

Pure Storage

With capacity on demand and integrated management across hybrid-cloud landscapes, FlashStack for AI reduces the complexity associated with setting up an AI environment and simplifies expansion of your AI infrastructure as your needs grow. And AI often involves sensitive data, so security and regulatory compliance is crucial.

Capacity 126
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FlashStack for AI Checks the Boxes for Rapid AI Deployment at Any Scale

Pure Storage

With capacity on demand and integrated management across hybrid-cloud landscapes, FlashStack for AI reduces the complexity associated with setting up an AI environment and simplifies expansion of your AI infrastructure as your needs grow. And AI often involves sensitive data, so security and regulatory compliance is crucial.

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FlashStack for AI Checks the Boxes for Rapid AI Deployment at Any Scale

Pure Storage

With capacity on demand and integrated management across hybrid-cloud landscapes, FlashStack for AI reduces the complexity associated with setting up an AI environment and simplifies expansion of your AI infrastructure as your needs grow. And AI often involves sensitive data, so security and regulatory compliance is crucial.

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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. GPUs, while powerful, tend to consume more power, especially when operating at maximum capacity. medical image analysis) and retail (e.g., product recognition in inventory management).

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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. GPUs, while powerful, tend to consume more power, especially when operating at maximum capacity. medical image analysis) and retail (e.g., product recognition in inventory management).

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An AI Data Platform for All Seasons

Pure Storage

One example of Pure Storage’s advantage in meeting AI’s data infrastructure requirements is demonstrated in their DirectFlash® Modules (DFMs), with an estimated lifespan of 10 years and with super-fast flash storage capacity of 75 terabytes (TB) now, to be followed up with a roadmap that is planning for capacities of 150TB, 300TB, and beyond.