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BigDL

BigDL makes it easier for data scientists and data engineers to build end-to-end, distributed AI applications. The BigDL release provides the following features:

  • DLlib: A distributed deep learning library for Apache Spark* (that is, the original BigDL framework with a Keras*-style API and Spark machine learning pipeline support)
  • Orca: Seamlessly scales out TensorFlow* and PyTorch* pipelines for distributed big data
  • Friesian: A large-scale, end-to-end recommender framework
  • Chronos: Scalable time-series analysis using AutoML
  • PPML: Privacy preserving big data analysis and machine learning

 

View Documentation

Download on GitHub*

 

Installation & User Guides

Get Started Guide

Docker*

Python*

Scala

 

Resources

User Group

Use Cases

Presentations

 

Legacy Tools

BigDL (original)

Analytics Zoo

Customer Stories

MasterCard*

Deep Learning with BigDL & Analytics Zoo Optimizes Mastercard* Recommender AI Service

Presentation

Capgemini*

AI Prediction-Based 5G MAC Scheduler in Radio Access Networks Uses Time-Series Analysis (Chronos) in BigDL & Analytics Zoo

White Paper

 

SK Telecom*

Intel Builds AI Pipeline to Improve Network Quality

Spark + AI Summit 2020 Session

White Paper

Alibaba*

Better Together: Privacy-Preserving Machine Learning

Learn More

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What's New

Distributed Deep Learning

BigDL: A Distributed Deep Learning Framework for Big Data

Cluster Serving

Distributed Inference Made Easy with BigDL/Analytics Zoo Cluster Serving

RayOnSpark

Run Emerging AI Applications on Big Data Clusters with Ray and BigDL/Analytics Zoo

Build End-to-End AI Pipelines Using Ray and Apache Spark

AutoML

Scalable AutoML for Time-Series Prediction Using Ray and BigDL/Analytics Zoo

Scalable AutoXGBoost Using Analytics Zoo

Performance

Accelerate Deep Learning Training with BigDL and Drizzle on Apache Spark

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Intel technologies may require enabled hardware, software or service activation. // No product or component can be absolutely secure. // Your costs and results may vary. // Performance varies by use, configuration, and other factors. Learn more at intel.com/performanceindex. // See our complete legal Notices and Disclaimers. // Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See Intel’s Global Human Rights Principles. Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights.

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