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RocketML Low-code Distributed Deep Learning

RocketML Low-code Distributed Deep Learning

By: RocketML Latest Version: 1.3.0

This version has been removed and is no longer available to new customers.

Product Overview

rmldnn is a command-line tool that makes deep-learning models easy to build and fast to train. It does not require knowledge of any deep-learning framework (Pytorch, Tensorflow, Keras, etc) or any Python code. Using rmldnn, one can build deep-learning models on either a small single GPU laptop or a large supercomputer with hundreds of GPUs or CPUs without any prior knowledge of distributed computing.


  • Does not require any knowledge of deep-learning frameworks (Pytorch, Keras, etc) or Python.
  • Is designed with scalability & performance in mind from the get-go.
  • Is agnostic to machine and processor architectures, running seamlessly on both CPU and GPU systems.
  • Runs on anything from one to hundreds of GPUs or CPUs without any required knowledge of distributed computing, automatically managing data partitioning and communication among nodes.
  • Allows building models for different computer vision use cases like image classification, object detection, image segmentation, autoencoders, and generative networks.



Operating System

Linux/Unix, Ubuntu 18.04

Delivery Methods

  • Amazon Machine Image

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