Build a multi-tenant configuration system with tagged storage patterns

Amazon SageMaker has introduced the HyperPod Inference Operator, a Kubernetes controller that simplifies model deployment on HyperPod clusters through flexible deployment interfaces and advanced autoscaling. The Inference Operator is now a native EKS add-on, enabling one-click installation and managed upgrades directly from the SageMaker console. With this integration, customers can create and configure required IAM roles and dependencies with a single click, streamlining the inference workflow.

A serverless, event-driven architecture using computer vision and generative AI is developed to automate safety monitoring across hundreds of facilities. The system captures near real-time visual data from fixed camera networks, detects potential safety hazards, and scales across thousands of cameras, while protecting personal identifiable information (PII) by blurring faces and identifiable features. The architecture is designed to learn and improve detection accuracy continuously, using a hierarchical role-based access control structure and synthetic data generation with generative AI tools like GLIGEN to reduce site onboarding time and data labeling requirements.