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Accelerate Deep Learning Workloads with Amazon SageMaker
book

Accelerate Deep Learning Workloads with Amazon SageMaker

by Vadim Dabravolski
October 2022
Intermediate to advanced
278 pages
6h 51m
English
Packt Publishing
Content preview from Accelerate Deep Learning Workloads with Amazon SageMaker

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

A/B testing

production variants, using for 228, 229

Accelerated Linear Algebra (XLA) 105

activation checkpointing 134

activation offloading 134

advanced model deployment patterns, Sagemaker endpoint

inference pipeline 22

multi-container endpoint 22

multi-model endpoint 23

advanced techniques, model deployment options

about 232

blue/green deployment patterns, using 236, 237

endpoints, autoscaling 232

algorithm hyperparameters

selecting 12

Allreduce coordination pattern

about 112

versus Parameter Server coordination pattern 112, 113

Amazon API Gateway 27

Amazon CloudTrail 28

Amazon CloudWatch ...

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Publisher Resources

ISBN: 9781801816441