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ND4J
N-dimensional array library for Java, providing NumPy-like functionality with native GPU acceleration via CUDA and CPU computation via OpenBLAS and oneDNN.
What is ND4J?
N-dimensional array library for Java, providing NumPy-like functionality with native GPU acceleration via CUDA and CPU computation via OpenBLAS and oneDNN.
Product typeDeveloper Tools & Platforms
Pricing ·
Deployment
APINot available
What teams use ND4J for
Deep learning on the JVM
Neural network training and inference
Distributed training on Spark
Model import from Keras, TensorFlow, and ONNX
N-dimensional array computation for Java
Integrations and access
Platforms, integrations, and language support vary by plan and region. Confirm final requirements with the vendor.
Platforms
IntegrationsAPI and webhooks
Languages
Support
What reviewers say
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Enterprise readiness
Compliance claims are normalized from current vendor documentation and independently reviewed by SOTA2.
Data retention:
Benchmarks and comparisons
Independent benchmarksStructured task results are being verified.
Side-by-side comparisonsComparison workspaces will be available in a later release.
