ConceptBatch Transform
Batch Transform
A model inference mode that performs one-off batch inference over a large set of data stored in object storage. Resources are released after the job completes, making it suitable for offline scoring or periodic prediction scenarios.
Timeline (last 90 days)
Oct 12
Real-time inference endpoints stay online continuously and are suitable for latency-sensitive online scenarios, but they incur always-on compute costs; batch transform completes inference in one pass over large amounts of data stored on S3, releasing resources after the job ends, and is suitable for offline scoring or periodic prediction.
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