Intel Unveils Open
Source BigDL for Apache Spark
February 9, 2017
open-source BigDL is a Distributed Deep Learning Library for the Apache
Spark open-source cluster-computing framework.
The deep learning library is part of Intel Corporation’s strategy for
enabling state-of-the-art Artificial Intelligence in the industry.
Announced last November, the strategy detailed Intel’s work to make AI
training and tools broadly accessible to developers through the Intel
Nervana AI Academy.
The BigDL features an efficient large-scale distributed deep learning
library built on Spark architecture that makes deep learning more
accessible to big data users and data scientists. BigDL enables the
exporting of AI expertise to data scientists now working across
thousands of applications in hundreds of fields.
BigDL can also serve as the unified data analytics platform
(Hadoop/Spark) for data storage, processing and mining, feature
engineering, machine and deep learning workloads and more. It lets
developers write deep learning applications as standard Spark programs
that run on top of existing Spark or Hadoop clusters to put deep
learning workloads more directly in touch with the data they use. BigDL
is already running in the Databricks Spark Platform.
“BigDL is an open-source project, and we encourage all developers to
connect with us on the BigDL Github, sample the code and contribute to
the project,” said Doug Fisher, senior vice president and general
manager of the Software and Services Group at Intel.
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