Fetch cuts ML processing latency by 50% using Amazon SageMaker & Hugging Face

AI Impact Summary

Fetch significantly reduced its ML processing latency by 50% through the adoption of Amazon SageMaker and Hugging Face technologies. This migration leveraged SageMaker Model Training, Processing, and Inference features, alongside AWS Deep Learning Containers and the Hugging Face Inference Toolkit, to accelerate model development, deployment, and scaling. The team’s ability to quickly iterate and deploy models, coupled with features like shadow testing, directly contributed to improved accuracy and user growth.