Klaviyo Scales 100GB+ ML Pipelines with Ray Data, Train & Tune
Klaviyo uses Ray Data to ingest and preprocess 100 GB+ tables—over 100 M rows—on a Ray cluster, achieving near‑linear scaling and minutes‑long jobs. Ray Train and Ray Tune then handle distributed model training and hyperparameter optimization, letting the team ship ML models faster without Spark.