Pure Storage
APRIL 8, 2024
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
Pure Storage
DECEMBER 14, 2023
This is due to the limited, rigid architecture legacy storage uses, which was never designed for upgradability—especially between storage generations. With traditional storage architectures, this painful cycle will repeat itself again and again. It’s the antithesis of the IT agility that organizations are actually looking for.
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Pure Storage
MAY 2, 2024
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).
Pure Storage
MAY 2, 2024
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).
Pure Storage
MARCH 18, 2024
This new reference architecture validation provides enterprises with greater GPU server choice and more immediate availability of proven AI infrastructure for fast and efficient small model training, fine-tuning, and inference workloads.
PagerDuty
DECEMBER 20, 2021
The PagerDuty team worked with CareMessage to reduce alert noise and increase context for their engineering team by taking a service-based approach to their PagerDuty service architecture. Turn.io’s SLA is 99.5% To lay the groundwork for achieving further automation and extracting service performance data, the team assisted Turn.io
Pure Storage
JUNE 8, 2022
There are so many practical applications for this technology that it’s no surprise AI is now supporting mainstream use cases in industries from healthcare and life sciences, to semiconductor and chip manufacturing, to automotive, financial services, and beyond. AIRI//S provides a simple and highly scalable architecture that is easy to set up.
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