SYSTEM Cited by 2 sources
SageMaker Batch Transform Job¶
SageMaker Batch Transform Job is a managed compute primitive inside SageMaker AI that applies a trained model to a large batch of input records. Model artifact + input S3 location → inference container runs across all inputs → predictions written back to S3. No online endpoint is required; the infrastructure is spun up for the job and torn down on completion.
Stub page — expand as deeper internals are ingested.
Seen in¶
- sources/2025-06-29-zalando-building-a-dynamic-inventory-optimisation-system-a-deep-dive — canonical disclosure as the offline / batch delivery mechanism of Zalando ZEOS's replenishment recommender; runs the Monte Carlo + black-box optimiser daily across all merchants × all articles using the latest inventory settings from the offline feature store.
- sources/2021-02-15-zalando-a-machine-learning-pipeline-with-real-time-inference — named as the batch-predictions stage of Zalando Payments' risk-scoring zFlow workflow (earlier in the Zalando canon than the 2025-06-29 post).
Related¶
- systems/aws-sagemaker-ai — parent product.
- systems/sagemaker-training-job · systems/sagemaker-processing-job — sibling primitives.
- companies/zalando