AWS nova documentation change
Summary
Updated branding from 'SageMaker AI Hyperpod' to 'SageMaker HyperPod' throughout the document. Added new section for monitoring with MLflow and changed 'Reinforcement fine-tuning' to 'Iterative training'.
Security assessment
Changes are branding updates and feature enhancements (MLflow monitoring). No security vulnerabilities, encryption methods, or access controls were modified. The existing encryption description (KMS keys) remains unchanged.
Diff
diff --git a/nova/latest/userguide/nova-hp.md b/nova/latest/userguide/nova-hp.md index d02fa1aa1..e0a1e0ca0 100644 --- a//nova/latest/userguide/nova-hp.md +++ b//nova/latest/userguide/nova-hp.md @@ -7 +7 @@ Compute requirements for Amazon Nova 1 models -# Amazon Nova customization on SageMaker AI Hyperpod +# Amazon Nova customization on SageMaker HyperPod @@ -9 +9 @@ Compute requirements for Amazon Nova 1 models -You can customize Amazon Nova models, including the enhanced Nova 2.0 models, using [ Amazon Nova recipes](./nova-model-recipes.html) and train them on Hyperpod. A recipe is a YAML configuration file that provides details to SageMaker AI on how to run your model customization job. SageMaker AI Hyperpod supports two types of services: Forge and Non-forge. +You can customize Amazon Nova models, including the enhanced Nova 2.0 models, using [ Amazon Nova recipes](./nova-model-recipes.html) and train them on Hyperpod. A recipe is a YAML configuration file that provides details to SageMaker AI on how to run your model customization job. SageMaker HyperPod supports two types of services: Forge and Non-forge. @@ -13 +13 @@ Hyperpod offers high-performance computing with optimized GPU instances and Amaz -Amazon Nova customization on SageMaker AI Hyperpod stores model artifacts including model checkpoints in a service-managed Amazon S3 bucket. Artifacts in the service-managed bucket are encrypted with SageMaker AI-managed AWS KMS keys. Service-managed Amazon S3 buckets don't currently support data encryption using customer-managed KMS keys. You can use this checkpoint location for evaluation jobs or Amazon Bedrock inference. +Amazon Nova customization on SageMaker HyperPod stores model artifacts including model checkpoints in a service-managed Amazon S3 bucket. Artifacts in the service-managed bucket are encrypted with SageMaker AI-managed AWS KMS keys. Service-managed Amazon S3 buckets don't currently support data encryption using customer-managed KMS keys. You can use this checkpoint location for evaluation jobs or Amazon Bedrock inference. @@ -64 +64 @@ Amazon Nova Pro | 1 | 1 | 1 | 6 | 2 | 11 | 26 | 260 | ml.p5.48xlarge - * [Amazon SageMaker AI HyperPod Essential Commands Guide](./nova-hp-essential-commands-guide.html) + * [Amazon SageMaker HyperPod Essential Commands Guide](./nova-hp-essential-commands-guide.html) @@ -66 +66 @@ Amazon Nova Pro | 1 | 1 | 1 | 6 | 2 | 11 | 26 | 260 | ml.p5.48xlarge - * [Creating a SageMaker AI HyperPod EKS cluster with restricted instance group (RIG)](./nova-hp-cluster.html) + * [Creating a SageMaker HyperPod EKS cluster with restricted instance group (RIG)](./nova-hp-cluster.html) @@ -68 +68 @@ Amazon Nova Pro | 1 | 1 | 1 | 6 | 2 | 11 | 26 | 260 | ml.p5.48xlarge - * [Nova Forge access and setup for SageMaker AI Hyperpod ](./nova-forge-hp-access.html) + * [Nova Forge access and setup for ](./nova-forge-hp-access.html) @@ -72 +72 @@ Amazon Nova Pro | 1 | 1 | 1 | 6 | 2 | 11 | 26 | 260 | ml.p5.48xlarge - * [Fine-tuning Amazon Nova models on SageMaker AI HyperPod](./nova-hp-fine-tune.html) + * [Fine-tuning Amazon Nova models on SageMaker HyperPod](./nova-hp-fine-tune.html) @@ -75,0 +76,2 @@ Amazon Nova Pro | 1 | 1 | 1 | 6 | 2 | 11 | 26 | 260 | ml.p5.48xlarge + * [Monitoring HyperPod jobs with MLflow](./nova-hp-mlflow.html) + @@ -85 +87 @@ To use the Amazon Web Services Documentation, Javascript must be enabled. Please -Reinforcement fine-tuning +Iterative training