# Best practices
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The following topics provide guidance on best practices for deploying machine learning models in Amazon SageMaker AI.

**Topics**
+ [Best practices for deploying models on SageMaker AI Hosting Services](deployment-best-practices.md)
+ [Monitor Security Best Practices](monitor-sec-best-practices.md)
+ [Low latency real-time inference with Amazon PrivateLink](realtime-endpoints-privatelink.md)
+ [Migrate inference workload from x86 to Amazon Graviton](realtime-endpoints-graviton.md)
+ [Troubleshoot Amazon SageMaker AI model deployments](deploy-model-troubleshoot.md)
+ [Inference cost optimization best practices](inference-cost-optimization.md)
+ [Best practices to minimize interruptions during GPU driver upgrades](inference-gpu-drivers.md)
+ [Best practices for endpoint security and health with Amazon SageMaker AI](best-practice-endpoint-security.md)
+ [Updating inference containers to comply with the NVIDIA Container Toolkit](container-nvidia-compliance.md)