Speed & Scale
Spark NLP was 80x faster than spaCy to train locally on 2.6MB of data.
Scale to a Spark cluster with zero code changes.
Spark NLP was 80x faster than spaCy to train locally on 2.6MB of data.
Scale to a Spark cluster with zero code changes.
First production-grade versions of novel deep learning NLP research.
Use pre-trained models to train to fit your data.
Widely deployed production-grade codebase.
New releases every 2 weeks since 2017.
Growing community.
Spark NLP delivered the best performing results on academic peer-reviewed benchmarks.
Zero code changes are needed to scale a pipeline to any spark cluster.
Optimized builds for the latest Intel & Nvidia chips enable the fastest training & tuning of state-of-the-art models.
Spark NLP is optimized for training domain-specific NLP models, so you can adapt it to learn the nuances of jargon and documents you must support.