Why AI/ML workloads benefit from NVMe-based flash

Beyond Big Data Storage For the AI/ML Era

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The 3 critical pain points of traditional storage approaches to AI and machine learning (ML) are lack of efficiency, suboptimal performance, and insufficient orchestration.

NVMe and NVMe-oF can offer some reprieve, but they need to be implemented the right way, otherwise, the benefits are limited, and money is wasted.

This e-book highlights how AI and ML workloads will benefit from a storage infrastructure with NVMe-based flash arrays—from raw performance to improved parallel processing.

Access this e-book to see this relationship in action and to get an overview of one such solution built for the AI era: Pavilion’s Hyperparallel Flash Array (HFA).

Vendor:
Pavilion
Posted:
Sep 15, 2021
Published:
Dec 20, 2019
Format:
PDF
Type:
eBook
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