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Deeplearning4j

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What Deeplearning4j is

Eclipse Deeplearning4j is an open-source deep learning framework for the Java Virtual Machine (JVM). It lets developers build, train and deploy neural networks in Java and Scala, with CPU computation through OpenBLAS and oneDNN and GPU acceleration through CUDA. Distributed training can run across CPU or GPU clusters using Apache Spark. Documented deployment settings include JVM microservices, mobile devices, Internet of Things environments and Spark.

The suite supports importing models from Keras, TensorFlow and ONNX. Its ecosystem includes ND4J, SameDiff, DataVec, Keras Import, Python4J, OmniHub and Arbiter; Python4J enables Python interoperability from Java through CPython embedding. The listed supported languages also include Kotlin and Clojure, while the quickstart identifies professional Java developers as its target audience. The libraries are licensed under Apache License 2.0 and governed by the Eclipse Foundation. The open-source plan costs nothing. For Java projects, the quickstart recommends Maven; Ivy and Gradle can also work. Documentation covers version 1.0.0-M2.1. Community support options include GitHub issues, community forums and Stack Overflow, with professional support available from Konduit. Listed platforms are API, Linux, macOS, self-hosted and Windows.

Who it suits

Deeplearning4j suits professional Java developers building deep learning applications for the JVM, particularly those working with Java or Scala and production deployments. It can also fit projects that need Spark-based distributed training, model import, GPU acceleration or deployment across JVM microservices, mobile devices and IoT.

What it does well

  • Builds, trains and deploys neural networks in Java and Scala.
  • Supports CUDA GPU acceleration and CPU computation.
  • Enables distributed training across CPU or GPU clusters with Apache Spark.
  • Imports models from Keras, TensorFlow and ONNX.
  • Libraries use the Apache License 2.0.

What to know first

  • The quickstart targets professional Java developers familiar with production deployments.
  • The current documentation covers version 1.0.0-M2.1.

Plans

PlanBilled and limitsPrice
Open-source Deeplearning4jApache License 2.0 · JVM framework · Maven dependenciesFree

As deeplearning4j.konduit.ai lists them, read 8 Oct 2026. The maker's own page has the final word.

Getting started

  1. Visit the Deeplearning4j documentation website.
  2. For a Java project, use the recommended Maven setup; Ivy and Gradle can also work.
  3. Choose Java or Scala to build, train or deploy neural networks.
  4. Use the framework on a listed platform or self-hosted environment.
  5. Use GitHub issues, community forums or Stack Overflow for community support.

Verdict

Choose Deeplearning4j for open-source deep learning in JVM applications, especially when Java or Scala, Spark training, or CUDA acceleration fits the project. It also offers model import and several deployment settings. Its quickstart is aimed at professional Java developers, and documentation covers version 1.0.0-M2.1.

Questions

Is Deeplearning4j free?

Yes. The open-source plan is listed as free and uses the Apache License 2.0.

Which languages does it support?

The listed languages are Java, Scala, Kotlin and Clojure. The framework description specifically covers building, training and deploying neural networks in Java and Scala.

Can it use GPUs or distributed training?

It supports GPU acceleration through CUDA and distributed training on CPU or GPU clusters using Apache Spark.

Which model formats can it import?

Documentation lists model import support for Keras, TensorFlow and ONNX. The listed model formats also include Keras H5 and TensorFlow frozen model (.pb).

What platforms are listed?

API, Linux, macOS, self-hosted and Windows are listed.

What support is available?

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

Facts from Deeplearning4j's own pages

Audience
The quickstart says DL4J targets professional Java developers familiar with production deployments, IDEs, and automated build tools. · deeplearning4j.konduit.ai, 8 Oct 2026
Commercial support
Konduit says it provides professional support and software for data science and model serving. · deeplearning4j.konduit.ai, 8 Oct 2026
Compute
It provides native GPU acceleration via CUDA and CPU computation via OpenBLAS and oneDNN. · deeplearning4j.konduit.ai, 8 Oct 2026
Current documentation version
The homepage says its documentation covers Deeplearning4j 1.0.0-M2.1 as current. · deeplearning4j.konduit.ai, 8 Oct 2026
Current documented version
The documentation homepage identifies version 1.0.0-M2.1 as the current version covered. · deeplearning4j.konduit.ai, 8 Oct 2026
Deployment use cases
The documentation describes deploying models in JVM microservices, mobile devices, IoT, and Apache Spark environments. · deeplearning4j.konduit.ai, 8 Oct 2026
Distributed training
Deeplearning4j supports distributed neural network training on CPU or GPU clusters using Apache Spark. · deeplearning4j.konduit.ai, 8 Oct 2026
Ecosystem
Its ecosystem includes ND4J, SameDiff, DataVec, Keras Import, Python4J, OmniHub, and Arbiter. · deeplearning4j.konduit.ai, 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. · deeplearning4j.konduit.ai, 8 Oct 2026
Languages
It supports building, training, and deploying neural networks in Java and Scala. · deeplearning4j.konduit.ai, 8 Oct 2026
License
The Deeplearning4j project is licensed under Apache License 2.0. · github.com, 8 Oct 2026
Model import
The documentation lists model import support for Keras, TensorFlow, and ONNX. · deeplearning4j.konduit.ai, 8 Oct 2026
Model interoperability
The suite supports importing models from Keras, TensorFlow, and ONNX. · deeplearning4j.konduit.ai, 8 Oct 2026
Open source
The libraries are described as completely open source under the Apache 2.0 license and under Eclipse Foundation governance. · deeplearning4j.konduit.ai, 8 Oct 2026
Purpose
Eclipse Deeplearning4j is an open-source, distributed deep learning framework for the JVM. · deeplearning4j.konduit.ai, 8 Oct 2026
Python interoperability
Python4J provides Python interoperability from Java through CPython embedding. · deeplearning4j.konduit.ai, 8 Oct 2026
Setup
The quickstart recommends Maven for Java projects and says other build tools, including Ivy and Gradle, can also work. · deeplearning4j.konduit.ai, 8 Oct 2026
Spark
The documentation lists Apache Spark integration for distributed training. · deeplearning4j.konduit.ai, 8 Oct 2026
Support
The support page lists GitHub issues, community forums, Stack Overflow, and professional support from Konduit. · deeplearning4j.konduit.ai, 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. · deeplearning4j.konduit.ai, 8 Oct 2026

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