Clustering, Computer Science and System Architecture

Accelerate pre-training of Mistral’s Mathstral model with highly resilient clusters on Amazon SageMaker HyperPod

AWS Machine Learning Blog

SEPTEMBER 18, 2024

It is important to consider the massive amount of compute often required to train these models. When using compute clusters of massive size, a single failure can often throw a training job off course and may require multiple hours of discovery and remediation from customers.

Clustering

Clustering AWS ML ML

Reduce ML training costs with Amazon SageMaker HyperPod

AWS Machine Learning Blog

APRIL 10, 2025

As cluster sizes grow, the likelihood of failure increases due to the number of hardware components involved. Each hardware failure can result in wasted GPU hours and requires valuable engineering time to identify and resolve the issue, making the system prone to downtime that can disrupt progress and delay completion.

ML ML Clustering AWS

Data Science Current

Accelerate pre-training of Mistral’s Mathstral model with highly resilient clusters on Amazon SageMaker HyperPod

Reduce ML training costs with Amazon SageMaker HyperPod

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