Build end-to-end AI-based data analytics solutions in an integrated, scalable, and high-performance infrastructure. Consolidate data ingestion, storage, preparation, processing, as well as AI model training and serving in a single, modern environment that uses open source software technologies and tools, optimized by Intel.
Write deep learning applications as standard Apache Spark* programs, which can directly run on top of existing Spark or Hadoop* clusters. BigDL has similar features to major industry frameworks and is highly optimized for Intel architecture.
This unified analytics and AI open source platform seamlessly unites Apache Spark*, TensorFlow*, Keras*, BigDL, and other future frameworks into an integrated data pipeline. It scales AI models to big data clusters with thousands of nodes for distributed training or inference.
Learn about Intel's involvement in creating a deep learning recommender system to increase revenue per website visit.
Find out about this joint initiative between Mastercard* and Intel in building users-items propensity models for a universal recommender AI service.
The University of Southern California, San Francisco, uses BigDL for Apache Spark* to develop and train an AI model for early identification of osteoporosis and other clinical care challenges.
Read about the key practices of building a customer support platform using AI with Microsoft Azure* and Analytics Zoo.
Read about Intel's open-source solution to streamline end-to-end development and deployment.
Watch this video tutorial to get started with BigDL and deploy it as a Docker* container or a virtual machine.
Learn more about how Cray* is using BigDL with Urika*-XC for large-scale model training.
See how to get a BigDL virtual machine running on the Microsoft Azure* Marketplace.