Remove tags ebs
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Best practices for building secure applications with Amazon Transcribe

AWS Machine Learning Blog

Amazon Transcribe uses encrypted Amazon Elastic Block Store (Amazon EBS) volumes to temporarily store customer data during media processing. Best Practice 5 – Use tag-based access control. You can use tags to control access within your AWS accounts. The customer data is cleaned up for both complete and failure cases.

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Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools

AWS Machine Learning Blog

When a Space is created, it is equipped with an Amazon Elastic Block Store (Amazon EBS) volume , which is used to store users’ files, data, caches, and other artifacts. The EBS volume ensures that user files, data, cache, and session states are consistently restored whenever the Space is restarted.

ML 101
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Scale AI training and inference for drug discovery through Amazon EKS and Karpenter

AWS Machine Learning Blog

v1alpha5 kind: ClusterConfig metadata: name: do-eks-yaml-karpenter version: '1.28' region: us-west-2 tags: karpenter.sh/discovery: discovery: do-eks-yaml-karpenter iam: withOIDC: true addons: - name: aws-ebs-csi-driver version: v1.26.0-eksbuild.1 discovery: "do-eks-yaml-karpenter" securityGroupSelectorTerms: - tags: karpenter.sh/discovery:

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Accelerate ML workflows with Amazon SageMaker Studio Local Mode and Docker support

AWS Machine Learning Blog

Build a Docker image using the reference Dockerfile: docker build --network sagemaker --tag myflaskapp:v1 --file./Dockerfile. Re-tag the build as an ECR image and push. amazonaws.com/myflaskapp:v1 sagemaker-user@default:~$ docker image list REPOSITORY TAG IMAGE ID CREATED SIZE 123456789012.dkr.ecr.us-east-2.amazonaws.com/myflaskapp

ML 99
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Open source observability for AWS Inferentia nodes within Amazon EKS clusters

AWS Machine Learning Blog

The location of the dashboard is specified by the fluxRepository.values.GRAFANA_NEURON_DASH_URL parameter, and neuronNodeGroup is used to set the instance type, number, and Amazon Elastic Block Store (Amazon EBS) size used for the nodes. or later NPM version 10.0.0

AWS 99
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Analyze Amazon SageMaker spend and determine cost optimization opportunities based on usage, Part 5: Hosting

AWS Machine Learning Blog

SageMaker real-time inference When you create an endpoint, SageMaker attaches an Amazon Elastic Block Store (Amazon EBS) storage volume to the Amazon Elastic Compute Cloud (Amazon EC2) instance that hosts the endpoint. You can also apply additional filters such as account number, EC2 instance type, cost allocation tag, Region, and more.

AWS 68
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Model hosting patterns in Amazon SageMaker, Part 1: Common design patterns for building ML applications on Amazon SageMaker

AWS Machine Learning Blog

When you create an endpoint, SageMaker attaches an EBS storage volume to each ML compute instance that hosts the endpoint. To use Inf1 instances in SageMaker, you can compile your trained models using Amazon SageMaker Neo and select the Inf1 instances to deploy the compiled model on SageMaker.

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