Small Granularity Graph Neural Network Training and the Future of Storage
Winchester
Mon Sep 15 | 4:35pm
Abstract
Current SSD devices are mostly built with a 4KiB transaction unit, or even larger for bigger drive capacities. But what if your workload has high IOPs demands at smaller granularities? We will take a deep dive into our GNN testing using NVIDIA BaM and the modifications that we made to test smaller than 4K transactions. We will also discuss how this workload is a good example of the need for Storage Next.
Learning Objectives
Takeaway an understanding of how AI/ML training can utilize storage devices. How AI/ML use cases for storage are guiding future development of storage technologies. How people can learn about Storage Next and participate in the future development of storage.
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