Jan 27, 2022 · This paper is the first to study prediction models of GPU failures under large-scale production deep learning workloads. As a starting point, we ...

For example, if GPU clusters can predict failures, they can migrate jobs on suspicious GPUs to other machines and start proactive maintenance to these GPUs.

Jun 22, 2023 · In this paper, we study the problem of predicting GPU failures using machine learning (ML) models to mitigate their damages.

Jan 27, 2022 · This paper is the first to study prediction models of GPU failures under large-scale production deep learning workloads. As a starting point, we ...

Sep 11, 2024 · This paper is the first to study prediction models of GPU failures under large-scale production deep learning workloads. As a starting point, we ...

To mitigate the problem caused by GPU failures, we propose to predict failures by using ML models. This paper is the first to study prediction models of GPU ...

Predictions should serve as “hints” instead of “final decisions”. Though promising, GPU failure prediction under DL workloads has not been well-studied. The ...

In this paper, we discover that workload characteristics, certain GPU cards, temperature and power consumption could have predictive or associative capabilities ...

In this paper, we study the problem of predicting GPU failures using machine learning (ML) models to mitigate their damages. We train prediction models on a ...

Predicting GPU Failures With High Precision Under Deep Learning Workloads ... Characterization and prediction of deep learning workloads in large-scale GPU ...