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BigDL

Speed up deep learning & reduce costs with GPU-free distributed computing framework & Spark’s scalability.
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What is BigDL?

BigDL is an Apache-licensed open source library for deep learning on Apache Spark. Developed by Intel, it’s designed to make deep learning more accessible and easier to use. With BigDL, developers can easily develop and deploy distributed deep learning applications on Spark and take advantage of Spark’s scalability and performance. BigDL simplifies the process of creating, training, and running deep learning models on Spark clusters. It also offers a convenient programming interface for distributed deep learning, enabling developers to quickly and easily implement deep learning models. Additionally, BigDL helps to reduce the cost of running deep learning applications by eliminating the need for expensive GPU hardware. Whether you’re a beginner or an experienced deep learning programmer, BigDL provides an easy-to-use platform for creating, training, and deploying deep learning models on Apache Spark.

Use Cases And Features

1. Speed up deep learning model training with BigDL’s easy-to-use distributed computing framework.
2. Leverage BigDL’s convenient programming interface to quickly and easily implement deep learning models.
3. Reduce costs and take advantage of Spark’s scalability and performance with BigDL’s GPU-free deep learning applications.

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