How to Optimize ML Models Serving in Production

Today, the use of AI for image classification tasks has become ubiquitous. Millions of images are processed daily with increasing quality standards. However, beyond the quality of classification, optimizing other aspects such as model speed is crucial. Here, we delve into the proper optimization techniques for high-performance ML image preprocessing, focusing on 5 key methods.

Tensor and Pipeline Parallelism

While GPU parallelization is pivotal in model training, it’s essential to consider tensor and pipeline parallelism for efficient model usage post-training. …

artificial intelligence become beyond classification daily data science however image images machine learning ml models open-data open source optimization performance preprocessing production quality speed standards tasks today