# Fleet-wide computer vision lifecycle at the edge with SageMaker SDK v3

Fleet-wide computer vision needs a model per camera, not one model for the whole fleet. This post presents a working Amazon SageMaker SDK v3 reference architecture that trains, quality-gates, compiles per-camera models with SageMaker Neo, and versions thousands of them, with an A



## 질문과 답변



## 출처
- AWS Machine Learning Blog: https://aws.amazon.com/blogs/machine-learning/fleet-wide-computer-vision-lifecycle-at-the-edge-with-sagemaker-sdk-v3/ (발표 2026-10-26T17:56:58.000Z)

작성: TUMN 큐레이션 · AI 보조: false
발행: 2026-10-26T17:56:58.000Z
확인: 2026-10-26T20:26:22.772Z
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정식 URL: https://api.tumn.com/news/6f86219c-6e2a-412e-ac32-ceea0976cb74
