Ray Batch Inference at Pinterest (Part 3)

Ray Batch Inference at Pinterest (Part 3)

摘要

Offline batch inference involves operating over a large dataset and passing the data in batches to a ML model which will generate a result for each batch. Offline batch inference jobs generally consist of a series of steps: dataloading, preprocessing, inference, post processing, and result writing. These offline batch inference jobs can be both I/O and compute intensive.