Silent Data Errors (SDEs) are a unique category of errors that result in unpredictable system behavior that is often difficult to detect. SDEs can represent a serious concern to at-scale compute in data center operations. [1], [2] This paper reviews data collected on SDE impacts to Artificial Intelligence (AI) workloads and Intel's SDE mitigation tools available for use in the data center.
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Bittel et al. (2024) studied this question.
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