An introduction to Watson Machine Learning Accelerator

This article is part of the Learning path: Get started with Watson Machine Learning Accelerator series.


The adoption of artificial intelligence (AI) has been increasing across all business sectors as more industry leaders understand the value that data and machine learning models can bring to their business. Faster times to create accurate models are essential to driving value for time to market.

IBM Cloud Pak® for Data provides a unified platform that integrates data and AI services to help you build, run and manage AI. IBM Watson® Machine Learning Accelerator is a capability designed to accelerate deep learning with end-to-end transparency and visibility that enables businesses or organizations to bring AI applications into production while making deep learning and machine learning more accessible.

What is Watson Machine Learning Accelerator?

Watson Machine Learning Accelerator is an enterprise AI infrastructure to make deep learning and machine learning more accessible and brings the benefits of AI to your business. It combines popular open source deep learning frameworks with efficient AI development tools.

Data scientists can accelerate their AI journey by scaling out their workload such as tuning their hyperparameters, while sharing GPU resources in an elastic manner with a growing number of data scientists based on fair share allocation or priority scheduling without interrupting jobs. To quickly learn more, watch the following video.

Watson Machine Learning Accelerator is now available on IBM Cloud Pak for Data, running on Red Hat® OpenShift® Container Platform and Intel® servers. Watson Machine Learning Accelerator continues to be available on premise for both accelerated IBM Power Systems™ servers and Intel servers.

Watson Machine Learning Accelerator capabilities

The following video offers an overview of the key capabilities of Watson Machine Learning Accelerator.

The key capabilities of Watson Machine Learning Accelerator are:

  • Elastic Distributed Training: Simplifies the distribution of training workloads for data scientists
  • Automated Hyperparameter Optimization: Helps data scientists optimize the speed of training by automating hyperparameter searches in parallel
  • Accelerated machine learning library with SnapML: An efficient, scalable machine learning library that enables fast training of various machine learning models
  • Elastic Distributed Inference: Publish inference models as services

Deploying Watson Machine Learning Accelerator

Watson Machine Learning Accelerator can be deployed as a service from IBM Cloud Pak for Data or installed as a stand-alone offering on premise. To learn about deploying Watson Machine Learning Accelerator as a service, look at IBM Cloud Pak for Data and the Watson Machine Learning service. Or, if you’re installing and configuring Watson Machine Learning Accelerator on premise, see Planning on installing Watson Machine Learning Accelerator 1.2.2.


This article provided an overview of Watson Machine Learning Accelerator and its capabilities. To learn more about these capabilities and deployment methods, see Accelerate your deep learning and machine learning.