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

AWS Machine Learning Blog

The compute clusters used in these scenarios are composed of more than thousands of AI accelerators such as GPUs or AWS Trainium and AWS Inferentia , custom machine learning (ML) chips designed by Amazon Web Services (AWS) to accelerate deep learning workloads in the cloud.

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Redesigning Snorkel’s interactive machine learning systems

Snorkel AI

A core part of this workflow involves quickly and accurately labeling datasets using Python functions instead of manual labeling by humans. These Python functions encode subject matter expertise in the form of anything from if/else statements to calls to foundation models. How much CPU/RAM/GPU do they have access to?

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Redesigning Snorkel’s interactive machine learning systems

Snorkel AI

A core part of this workflow involves quickly and accurately labeling datasets using Python functions instead of manual labeling by humans. These Python functions encode subject matter expertise in the form of anything from if/else statements to calls to foundation models. How much CPU/RAM/GPU do they have access to?

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Meeting customer needs with our ML platform redesign

Snorkel AI

A core part of this workflow involves quickly and accurately labeling datasets using Python functions instead of manual labeling by humans. These Python functions encode subject matter expertise in the form of anything from if/else statements to calls to foundation models. How much CPU/RAM/GPU do they have access to?

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