CUDA

CUDA

NVIDIA
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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.

About

CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs. In GPU-accelerated applications, the sequential part of the workload runs on the CPU – which is optimized for single-threaded performance – while the compute intensive portion of the application runs on thousands of GPU cores in parallel. When using CUDA, developers program in popular languages such as C, C++, Fortran, Python and MATLAB and express parallelism through extensions in the form of a few basic keywords. The CUDA Toolkit from NVIDIA provides everything you need to develop GPU-accelerated applications. The CUDA Toolkit includes GPU-accelerated libraries, a compiler, development tools and the CUDA runtime.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

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

Audience

Developers interested in a powerful parallel computing platform and programming model

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

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

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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

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Deeplearning4j
Founded: 2019
Japan
deeplearning4j.org

Company Information

NVIDIA
Founded: 1993
United States
developer.nvidia.com/cuda-zone

Alternatives

MXNet

MXNet

The Apache Software Foundation

Alternatives

oneAPI

oneAPI

Intel
NVIDIA NIM

NVIDIA NIM

NVIDIA
Apache Mahout

Apache Mahout

Apache Software Foundation
OpenCL

OpenCL

The Khronos Group
MLlib

MLlib

Apache Software Foundation
Apache Spark

Apache Spark

Apache Software Foundation

Categories

Categories

Integrations

AWS Marketplace
Amazon EC2 G4 Instances
Amp
Apache Spark
Axivion Static Code Analysis
C
C++
Code Metal
Hadoop
HunyuanCustom
NVIDIA Jetson
NVIDIA Magnum IO
NVIDIA TensorRT
NodeShift
Python
RightNow AI
Skyportal
Unicorn Render
VMware Private AI Foundation
Vast.ai

Integrations

AWS Marketplace
Amazon EC2 G4 Instances
Amp
Apache Spark
Axivion Static Code Analysis
C
C++
Code Metal
Hadoop
HunyuanCustom
NVIDIA Jetson
NVIDIA Magnum IO
NVIDIA TensorRT
NodeShift
Python
RightNow AI
Skyportal
Unicorn Render
VMware Private AI Foundation
Vast.ai
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Claim Deeplearning4j and update features and information
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