AWS nova low security documentation change
Summary
Updated terminology from 'SageMaker AI' to 'SageMaker' throughout, removed 'AI' from feature names, and changed last section title from 'Amazon Bedrock inference' to 'Delete a custom model deployment'
Security assessment
The change explicitly references security controls preventing SSH access to master nodes and blocking warm pool usage. The phrase 'Due to security controls in place' appears twice, indicating these limitations exist for security purposes. However, it doesn't add new security documentation but rather maintains existing security-related limitations.
Diff
diff --git a/nova/latest/nova2-userguide/nova-model-limitations.md b/nova/latest/nova2-userguide/nova-model-limitations.md index 47acbc775..4431df6cd 100644 --- a//nova/latest/nova2-userguide/nova-model-limitations.md +++ b//nova/latest/nova2-userguide/nova-model-limitations.md @@ -7 +7 @@ -Amazon Nova customization doesn't support the following capabilities on SageMaker AI. +Amazon Nova customization doesn't support the following capabilities on SageMaker. @@ -13 +13 @@ Due to security controls in place, you can't SSH into the master node in the tra - * **Support for SageMaker AI trainer SDK** + * **Support for SageMaker trainer SDK** @@ -15 +15 @@ Due to security controls in place, you can't SSH into the master node in the tra -SageMaker AI trainer is currently not available to start training jobs. You can start training jobs only via **estimator API** today. +SageMaker trainer is currently not available to start training jobs. You can start training jobs only via **estimator API** today. @@ -17 +17 @@ SageMaker AI trainer is currently not available to start training jobs. You can - * **Warm pools are not accessible to SageMaker AI training jobs** + * **Warm pools are not accessible to SageMaker training jobs** @@ -19 +19 @@ SageMaker AI trainer is currently not available to start training jobs. You can -Due to security controls in place, the SageMaker AI warm pools can't be used to keep the instance in the warm pool till the time to live. +Due to security controls in place, the SageMaker warm pools can't be used to keep the instance in the warm pool till the time to live. @@ -27 +27 @@ Merging multiple models is not currently supported. This means that creating mul -[TensorBoard](https://www.tensorflow.org/tensorboard) is the only supported observability tool to view metrics for SageMaker AI training jobs. [MLFlow](https://mlflow.org/) or [WandB](https://wandb.ai/site/) are not currently supported. For more information about using TensorBoard in SageMaker AI, see [TensorBoard in SageMaker AI](https://docs.aws.amazon.com//sagemaker/latest/dg/tensorboard-on-sagemaker.html). +[TensorBoard](https://www.tensorflow.org/tensorboard) is the only supported observability tool to view metrics for SageMaker training jobs. [MLFlow](https://mlflow.org/) or [WandB](https://wandb.ai/site/) are not currently supported. For more information about using TensorBoard in SageMaker, see [TensorBoard in SageMaker](https://docs.aws.amazon.com//sagemaker/latest/dg/tensorboard-on-sagemaker.html). @@ -38 +38 @@ To use the Amazon Web Services Documentation, Javascript must be enabled. Please -Amazon Bedrock inference +Delete a custom model deployment