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watsonx.ai Runtime

Formerly known as Watson Machine Learning. Quickly build, run and manage generative AI and machine learning applications with built-in performance and scalability.

  • Date of last update: 12/17/2025
  • Docs
  • API docs
  • Service
  • IBM
  • 12/17/2025
  • AI / Machine Learning
  • IAM-enabled
  • Service Endpoint Supported
  • API docs
  • Docs
  • Terms

Pricing plans

PlanFeatures and capabilitiesPricing

  • Service
  • IBM
  • 12/17/2025
  • AI / Machine Learning
  • IAM-enabled
  • Service Endpoint Supported
  • API docs
  • Docs
  • Terms

Summary

IBM watsonx.ai Runtime service provides resources to power AI lifecycles and makes building and deploying AI solutions simple and scalable. It includes APIs, tools, models, and flexible runtimes ready for use in any cloud or hybrid environment. For a full description of features and capabilities, visit the watsonx.ai product page https://www.ibm.com/products/watsonx-ai

Features and capabilities

Create generative AI solutions

This service provides instant access to a full range of IBM granite foundation models as well as popular third party and open source models. Inference foundation models with prompts that you customize for your solution. Build retrieval-augmented generation (RAG) patterns that include extracting text, chunking and embedding documents for vector indexes, and reranking search results. Host foundation models that you import, fine tune and deploy and leverage the endpoints for a wide variety of use cases.

Build and deploy machine learning models

Develop and automate the MLOps lifecycle with orchestration pipelines and AI runtimes that reside in one place for efficient building of powerful applications with trusted data. Automatically generate predictive model candidates with AutoAI. Create machine learning model training flows with SPSS Modeler. Solve complex optimization problems with the Decision Optimization engine. Take advantage of machine learning model management and deployment features. Leverage widely supported machine learning frameworks such as TensorFlow, Keras, Caffe, PyTorch, Spark MLlib, scikit learn and xgboost.

Embed in applications

Extend your application with AI through the watsonx.ai REST API. Use the command line interface and Python client to manage your artifacts.

Integration with watsonx.ai Studio

This service is best paired with the watsonx.ai Studio service for a full suite of pro-code and low-code tools to build a wide range of AI solutions. The seamless integration between the two services provides a state of the art collection of tooling and intuitive user interfaces to simplify and accelerate all your AI development tasks.

Looking for a HIPAA-Ready plan?

The watsonx.ai Runtime HIPAA-Ready plan is available on IBM Cloud in the Dallas (us-south) region.To purchase, contact sales using this form: https://www.ibm.com/account/reg/signup?formid=MAIL-data

Getting support


If you're experiencing issues with this product, go to the IBM Cloud Support Center and navigate to creating a case. Use the All products option to search for this product to continue creating the case or to find more information about getting support. Third party and community supported products might direct you to a support process outside of IBM Cloud.

Summary

watsonx.ai Runtime

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