AWS Machine Learning Blog

SEPTEMBER 18, 2024

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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AWS Machine Learning Blog

MAY 14, 2025

The following diagram illustrates the solution architecture for training using SageMaker HyperPod. With HyperPod, users can begin the process by connecting to the login/head node of the Slurm cluster. Alternatively, you can also use AWS Systems Manager and run a command such as the following to start the session.

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Snorkel AI

MAY 3, 2023

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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Snorkel AI

MAY 3, 2023

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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Machine Learning Machine Learning ML ML 52

Snorkel AI

MAY 3, 2023

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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ML ML Machine Learning Machine Learning 52

Pickl AI

DECEMBER 9, 2024

YARN (Yet Another Resource Negotiator) manages resources and schedules jobs in a Hadoop cluster. Advanced-Level Interview Questions Advanced-level Big Data interview questions test your expertise in solving complex challenges, optimising workflows, and understanding distributed systems deeply. What is YARN in Hadoop?

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AWS Machine Learning Blog

APRIL 2, 2025

Ray is an open source framework that makes it straightforward to create, deploy, and optimize distributed Python jobs. At its core, Ray offers a unified programming model that allows developers to seamlessly scale their applications from a single machine to a distributed cluster. Ray clusters and Kubernetes clusters pair well together.

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