Deeplearning4j NVIDIA RAPIDS

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Deeplearning4j:

About

DL4J takes advantage of the latest distributed computing frameworks including Apache Spark and Hadoop to accelerate training. On multi-GPUs, it is equal to Caffe in performance. The libraries are completely open-source, Apache 2.0, and maintained by the developer community and Konduit team. Deeplearning4j is written in Java and is compatible with any JVM language, such as Scala, Clojure, or Kotlin. The underlying computations are written in C, C++, and Cuda. Keras will serve as the Python API. Eclipse Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Apache Spark, DL4J brings AI to business environments for use on distributed GPUs and CPUs. There are a lot of parameters to adjust when you're training a deep-learning network. We've done our best to explain them, so that Deeplearning4j can serve as a DIY tool for Java, Scala, Clojure, and Kotlin programmers.
NVIDIA RAPIDS:

About

The RAPIDS suite of software libraries, built on CUDA-X AI, gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization, but exposes that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. RAPIDS also focuses on common data preparation tasks for analytics and data science. This includes a familiar DataFrame API that integrates with a variety of machine learning algorithms for end-to-end pipeline accelerations without paying typical serialization costs. RAPIDS also includes support for multi-node, multi-GPU deployments, enabling vastly accelerated processing and training on much larger dataset sizes. Accelerate your Python data science toolchain with minimal code changes and no new tools to learn. Increase machine learning model accuracy by iterating on models faster and deploying them more frequently.
Deeplearning4j:

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
NVIDIA RAPIDS:

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
Deeplearning4j:

Audience

Researchers, developers and professionals requiring an open-source, distributed, deep learning library for the JVM
NVIDIA RAPIDS:

Audience

Enterprises in search of a solution to execute end-to-end data science and analytics pipelines entirely on GPUs
Deeplearning4j:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
NVIDIA RAPIDS:

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported
Deeplearning4j:

API

Offers API Supported
NVIDIA RAPIDS:

API

Offers API Not Supported
Deeplearning4j:

Screenshots and Videos

NVIDIA RAPIDS:

Screenshots and Videos

Deeplearning4j:

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported
NVIDIA RAPIDS:

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported
Deeplearning4j:

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software
NVIDIA RAPIDS:

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software
Deeplearning4j:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
NVIDIA RAPIDS:

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Supported
Deeplearning4j:

Company Information

Deeplearning4j
Founded: 2019
Japan
deeplearning4j.org
NVIDIA RAPIDS:

Company Information

NVIDIA
Founded: 1993
United States
developer.nvidia.com/rapids
Deeplearning4j:

Alternatives

MXNet

MXNet

The Apache Software Foundation
NVIDIA RAPIDS:

Alternatives

Deeplearning4j:
NVIDIA RAPIDS:
Deeplearning4j:
Apache Mahout

Apache Mahout

Apache Software Foundation
NVIDIA RAPIDS:
Deeplearning4j:
MLlib

MLlib

Apache Software Foundation
NVIDIA RAPIDS:
Domino Enterprise AI Platform

Domino Enterprise AI Platform

Domino Data Lab
5.0 out of 5 stars
Deeplearning4j:
Apache Spark

Apache Spark

Apache Software Foundation
NVIDIA RAPIDS:
Deeplearning4j:

Categories

Deep Learning Supported
Neural Network Supported
NVIDIA RAPIDS:

Categories

AI Infrastructure Supported
Data Science Supported
Deeplearning4j:

Integrations

Apache Spark Supported
Anaconda Not Supported
Capital One Spark Business Banking Not Supported
Databricks Not Supported
Domino Enterprise AI Platform Not Supported
Gradient Not Supported
HEAVY.AI Not Supported
HPE Ezmeral Data Fabric Not Supported
Hadoop Supported
IBM Cloud Not Supported
Iguazio Not Supported
Kinetica Not Supported
NVIDIA FLARE Not Supported
Nuclio Not Supported
Plotly Dash Not Supported
NVIDIA RAPIDS:

Integrations

Apache Spark Supported
Anaconda Supported
Capital One Spark Business Banking Supported
Databricks Supported
Domino Enterprise AI Platform Supported
Gradient Supported
HEAVY.AI Supported
HPE Ezmeral Data Fabric Supported
Hadoop Not Supported
IBM Cloud Supported
Iguazio Supported
Kinetica Supported
NVIDIA FLARE Supported
Nuclio Supported
Plotly Dash Supported
Deeplearning4j:
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NVIDIA RAPIDS:
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