Run on thousands of AWS GPUs with Amazon SageMaker Model Training - AWS Virtual Workshop

Have you ever wanted to train your own large language model? What about using terabytes to petabytes of your own data? Come learn about how to pick the right storage, compute, and performance optimizations to run your job to the maximum efficiency on Amazon SageMaker. We’ll explore patterns from NLP, learning how to shard our neural network onto multiple GPUs with SageMaker Model Parallel. We’ll learn how to profile our jobs, incrementally taking steps to increase the overall runtime performance and accuracy. We’ll discover about pros and cons of training on EC2, EKS, and SageMaker. Join us to find out how customers like self-driving car company Aurora are training the next generation ML models on Amazon SageMaker.
Learning Objectives:
Objective 1: Explore the best compute and storage options for training large scale models
Objective 2: Learn about optimizing your model's performance and accuracy
Objective 3: Discover how to leverage SageMaker model parallelism
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[@stanleyja]

Great content! Didn’t realize how great the engineering for SageMaker is

[@alexandrur6245]

the audio of Mani is so bad that is difficult to follow...

[@awssupport]

Hi Alexandru. 👋 Thank you for providing this feedback, I'm sorry for the concern. If you'd like, you can find more information related to Amazon SageMaker Model Training, here: go.aws/3ZukWlb. ^SA

[@SY-jh3tg]

Why do every cloud video I see from any of the cloud providers is a conversation between two people and usless as shit. Please upload short videos with specific target with focusing on steps.

[@filippobuonco95]

useless comment. They are teaching step by step what do you want more than that??

[@SY-jh3tg]

@@filippobuonco95 More focus on material less on chitter chatter.