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SageMaker and Step Functions released a new integration to create processing jobs directly in the state machine:
- https://docs.aws.amazon.com/step-functions/latest/dg/connect-sagemaker.html#sagemake…
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### Description
Please add a new resource to manage SageMaker inference components.
### Requested Resource(s) and/or Data Source(s)
aws_sagemaker_inference_component
### Potential Terraform Config…
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### Willingness to contribute
Yes. I would be willing to contribute this feature with guidance from the MLflow community.
### Proposal Summary
In mlflow UI, for the log_metric function, I wou…
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## Willingness to contribute
The MLflow Community encourages new feature contributions. Would you or another member of your organization be willing to contribute an implementation of this feature (ei…
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For example i want to run an endpoint which is running on intel/amd/nvidia instances which is generally available. ie, instances which are not available on Sagemaker but available on AWS.
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**Describe the bug**
When deploying sagemaker endpoint using the example dockerfile: https://github.com/awslabs/amazon-sagemaker-examples/tree/master/advanced_functionality/multi_model_bring_your_own…
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example: https://github.com/aws/amazon-sagemaker-examples/tree/main/sagemaker_edge_manager/sagemaker_edge_example
i follow this example and when i proceed to predict image, i found the error called…
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After following the steps listed [here](https://github.com/aws-samples/sagemaker-studio-custom-image-samples/tree/main/examples/conda-env-kernel-image) exactly I began a SageMaker Studio session. Afte…
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### Willingness to contribute
Yes. I can contribute this feature independently.
### Proposal Summary
Add rate limit support for OpenAI compatible endpoints.
### Motivation
> #### What is the use …
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**Describe the use case example you want to see**
A notebook example describing how to tune hyper-parameters while training with SM Training Compiler on TensorFlow 2.9. SM Training Compiler recent…