Amazon SageMaker Model Registry
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- AWS updates SageMaker SDK v3 pattern for fleet-wide edge computer vision
AWS Machine Learning Blog updated a reference architecture for managing per-camera computer-vision models across production lines using the current SageMaker Python SDK v3. The pattern uses a dual-branch SageMaker Pipeline for anomaly detection and defect classification, quality gates, SageMaker Neo edge compilation, model registry versioning, and Step Functions orchestration; AWS reports that a full synthetic-data pipeline run costs about $0.07 in compute.
AWS Machine Learning Blog · 🔥 0
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