High Bandwidth Memory for AI

High-Bandwidth-Memory (HBM) technology is powering the accelerated computing and GPUs behind the AI revolution. This paper discusses the important role HBM architecture, performance, power, capacity, and RAS play in AI hardware. We will compare the HBM memory architecture with more traditional compute memory such as DDR5 focusing on Micron Technology's industry-leading HBM3E. We will end with a look towards the future technology innovations that will be essential to deliver continued HBM scaling.

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Publication Details

Published
2025-06-08
DOI
https://doi.org/10.23919/vlsitechnologyandcir65189.2025.11074880
Citations
1
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
2.27
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article

High Bandwidth Memory for AI

Remco Chang, Lie‐Liang Yang, Raghu Sreeramaneni, Nevil Gajera
1 citations
Parallel Computing and Optimization Techniques
2.27
article

High Bandwidth Memory for AI

Remco Chang, Lie‐Liang Yang, Raghu Sreeramaneni, Nevil Gajera
article en
1 citations

Abstract

High-Bandwidth-Memory (HBM) technology is powering the accelerated computing and GPUs behind the AI revolution. This paper discusses the important role HBM architecture, performance, power, capacity, and RAS play in AI hardware. We will compare the HBM memory architecture with more traditional compute memory such as DDR5 focusing on Micron Technology's industry-leading HBM3E. We will end with a look towards the future technology innovations that will be essential to deliver continued HBM scaling.

Micron (United States) (US)
Affordable and clean energy
Openalex Percentile: Top 13%
Parallel Computing and Optimization Techniques
2.27
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