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You are here: Home / Videos / Simplify and Accelerate AI Adoption with Pure Storage Platform – FlashBlade Internals

Simplify and Accelerate AI Adoption with Pure Storage Platform – FlashBlade Internals



AI Data Infrastructure Field Day 1

Boris Feigin presented for Pure Storage at AIDIFD1


This video is part of the appearance, “Pure Storage Presents at AI Data Infrastructure Field Day 1“. It was recorded as part of AI Data Infrastructure Field Day 1 at 14:00-15:30 on October 3, 2024.


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In this presentation, Pure Storage outlines its approach to help organizations meet their AI storage needs while accelerating and simplifying adoption of their AI initiatives. With the Pure Storage platform, organizations can maximize performance and efficiency of AI workflows, unify data, simplify data storage management and take advantage of a scalable AI data infrastructure. An essential cornerstone to it is Pure FlashBlade, a powerful scale-out storage solution specifically designed to meet the unique demands of AI workloads. It simplifies the integration and deployment of all scales of training and inference routines, and helps democratize AI to enterprises looking to accelerate their AI initiatives.

This section looks at the internal details of FlashBlade and Purity//FB, the software stack for FlashBlade. This part of the session focuses on the building blocks as well as the core architectural decisions that enable FlashBlade to shine in modern AI environments across many use cases. Central to Purity//FB’s success is its ability to handle massively parallel data processing, which is a crucial AI data infrastructure requirement for large-scale datasets. This part of the session will cover the modularThis section looks at the internal details of FlashBlade and Purity//FB, the software stack for FlashBlade. This part of the session focuses on the building blocks as well as the core architectural decisions that enable FlashBlade to shine in modern AI environments across many use cases. Central to Purity//FB’s success is its ability to handle massively parallel data processing, which is a crucial AI data infrastructure requirement for large-scale datasets. This part of the session will cover the modular design of Purity//FB, illustrating how its distributed architecture efficiently manages data flow.

Presented by Boris Feigin – Technical Director, FlashBlade Engineering, Pure Storage

Personnel: Boris Feigin


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