Scaling to 32 GPUs on a Novel Composable System Architecture

Fuente: arXiv
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Main Author: Ihnotic, John
Format: Preprint
Published: 2024
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author Ihnotic, John
author_facet Ihnotic, John
contents The development of composable systems architecture marks a significant shift in resource allocation and utilization within data centers. This paper presents a composable architecture scaling up to 32 GPUs on a single node, addressing the technical challenges encountered and the innovative solutions implemented. This design introduces a flexible and dynamic resource distribution mechanism, particularly for GPUs, enabling tailored allocation to meet varying node demands. The architecture's dynamic nature allows for the flexible assignment and reassignment of hardware resources, such as GPUs, to different nodes as required, offering unprecedented capability and flexibility.
format Preprint
id arxiv_https___arxiv_org_abs_2404_06467
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Scaling to 32 GPUs on a Novel Composable System Architecture
Ihnotic, John
Emerging Technologies
Distributed, Parallel, and Cluster Computing
The development of composable systems architecture marks a significant shift in resource allocation and utilization within data centers. This paper presents a composable architecture scaling up to 32 GPUs on a single node, addressing the technical challenges encountered and the innovative solutions implemented. This design introduces a flexible and dynamic resource distribution mechanism, particularly for GPUs, enabling tailored allocation to meet varying node demands. The architecture's dynamic nature allows for the flexible assignment and reassignment of hardware resources, such as GPUs, to different nodes as required, offering unprecedented capability and flexibility.
title Scaling to 32 GPUs on a Novel Composable System Architecture
topic Emerging Technologies
Distributed, Parallel, and Cluster Computing
url https://arxiv.org/abs/2404.06467