Questions tagged with ML Ops with Amazon SageMaker and Kubernetes

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I am trying to build a architecture for custom anomaly ai on AWS for my startup. Please let me know if my way of thinking is correct or not 1. Data Ingestion: Ingesting the data into AWS S3 in JSON...
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17
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asked 3 days ago
Calling the sagemaker model endpoint with contentType `application/octet-stream` which is also being captured in Data Capture Logs. What would be the ideal way to transform the data such that model...
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147
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asked 6 months ago
based on aws docs/examples (https://docs.aws.amazon.com/sagemaker/latest/dg/model-registry-version.html), one can create/register model that is generated by your training pipeline. first we need to...
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59
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asked 6 months ago
Hi, I'm working on an end-to-end ml project which, for the moment, goes from training (it takes already processed train/val/test data from an S3 bucket) to deploy, passing through hyperparameter...
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37
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asked 7 months ago
I cant save neuron model after compile the model into an AWS Neuron optimized TorchScript. My code: ``` import tensorflow # to workaround a protobuf version conflict issue import torch import...
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106
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asked 7 months ago
Is there any step-by-step guides/tutorials on how to implement Kubeflow with custom OIDC providers? I want to install Kubeflow in region Jakarta with EKS, but Cognito is not available in region JKT...
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62
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riza
asked 10 months ago
Hi MLOps Gurus, I'd like to seek guidance on my below situation. This is regarding Sagemaker Project creation in AWS. The use case is to take final model (built by DS team) from S3 and do all...
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203
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Nikhil
asked a year ago
I am expermenting with a sagemaker serverless endpoint (sample code below to create an endpoint from aws documentation). but I keep getting error when the endpoint is invoked , has anyone run into...
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419
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asked a year ago
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