SVS331: Supercharge AI/ML Workloads on ECS

Resources for SVS331: Supercharge AI/ML workloads on ECS

learn techniques to maximize the performance and scalability of these workloads to meet dynamic demand. Discover best practices for improving operational efficiency and optimizing costs of AI/ML deployments on Amazon ECS.

Autoscaling Amazon ECS services based on custom metrics with Application Auto Scaling

Blog post

In this post, we showed you how to auto scale an Amazon ECS service using metric math support for target tracking in Application Auto Scaling

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Amazon ECS task definitions for GPU workloads

AWS Doc

We recommend that you consider the following before you begin working with GPUs on Amazon ECS.

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Using a Bottlerocket AMI with Amazon ECS

setting up an Amazon ECS cluster with Bottlerocket container instances (using the EC2 launch type).

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https://github.com/bottlerocket-os/bottlerocket/blob/develop/QUICKSTART-ECS.md

AWS blog

un a distributed data parallel training job using Amazon ECS.

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Presented by:

Frank Frank

Frank Fan is a Senior Container Solutions Architect at Amazon Web Services.

Abhishek Nautiyal

Abhishek Nautiya is a Senior Product Manager Technical-External Services, Amazon Web Services.

Steve Kendrex

Steve Kendrex is a Sr. Manager, Product Management, Amazon, Amazon Web Services.