Deeplearning4j

What it does

Audience

The quickstart says DL4J targets professional Java developers familiar with production deployments, IDEs, and automated build tools.checked 8 Oct 2026

Commercial support

Konduit says it provides professional support and software for data science and model serving.checked 8 Oct 2026

Compute

It provides native GPU acceleration via CUDA and CPU computation via OpenBLAS and oneDNN.checked 8 Oct 2026

Current documentation version

The homepage says its documentation covers Deeplearning4j 1.0.0-M2.1 as current.checked 8 Oct 2026

Current documented version

The documentation homepage identifies version 1.0.0-M2.1 as the current version covered.checked 8 Oct 2026

Deployment use cases

The documentation describes deploying models in JVM microservices, mobile devices, IoT, and Apache Spark environments.checked 8 Oct 2026

Distributed training

Deeplearning4j supports distributed neural network training on CPU or GPU clusters using Apache Spark.checked 8 Oct 2026

Ecosystem

Its ecosystem includes ND4J, SameDiff, DataVec, Keras Import, Python4J, OmniHub, and Arbiter.checked 8 Oct 2026

Intended use

The suite is described for JVM deep learning applications, including importing and retraining models and deploying them in JVM microservices, mobile devices, IoT, and Apache Spark.checked 8 Oct 2026

Languages

It supports building, training, and deploying neural networks in Java and Scala.checked 8 Oct 2026

License

The Deeplearning4j project is licensed under Apache License 2.0.checked 8 Oct 2026

Model import

The documentation lists model import support for Keras, TensorFlow, and ONNX.checked 8 Oct 2026

Model interoperability

The suite supports importing models from Keras, TensorFlow, and ONNX.checked 8 Oct 2026

Open source

The libraries are described as completely open source under the Apache 2.0 license and under Eclipse Foundation governance.checked 8 Oct 2026

Purpose

Eclipse Deeplearning4j is an open-source, distributed deep learning framework for the JVM.checked 8 Oct 2026

Python interoperability

Python4J provides Python interoperability from Java through CPython embedding.checked 8 Oct 2026

Setup

The quickstart recommends Maven for Java projects and says other build tools, including Ivy and Gradle, can also work.checked 8 Oct 2026

Spark

The documentation lists Apache Spark integration for distributed training.checked 8 Oct 2026

Support

The support page lists GitHub issues, community forums, Stack Overflow, and professional support from Konduit.checked 8 Oct 2026

What it does

Eclipse Deeplearning4j is an open-source deep learning framework for the JVM, for building, training, and deploying neural networks in Java and Scala.checked 8 Oct 2026