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IBM to Offer Watsonx AI Tools on Oracle Cloud Infrastructure

Sam Marten – Tech & AI Writer by Sam Marten – Tech & AI Writer
May 9, 2025
in Cloud Computing
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Introduction to IBM and Oracle’s AI Collaboration

IBM is expanding its AI efforts through an expanded collaboration with Oracle. The company will integrate its Watsonx AI tools into Oracle Cloud Infrastructure (OCI), with the aim of making it easier for businesses to run and manage AI agents in platforms. AI agents – software tools that perform tasks based on user input – are becoming more common in the workplace, with many firms looking to incorporate the technology into their operations to simplify tasks and reduce manual work.

What is Watsonx and How Will it be Used?

One of the first offerings is Watsonx Orchestrate. It allows users to manage workflows involving multiple agents in different systems, including non-Oracle apps, and is expected to be available on OCI from July. IBM’s Orchestrate agents will integrate with several of Oracle’s AI services, including the Oracle AI Agent Studio for Fusion Applications and OCI Generative AI Agents. Orchestrate agents are designed to extend third-party and custom applications, with initial use-cases likely focusing on human resources, where agents can help deal with repetitive tasks like onboarding.

Technical Details of the Collaboration

Orchestrate agents will run on Red Hat OpenShift on OCI, and are suitable for deployment in public, sovereign, government, and Oracle Alloy regions for workloads that have more stringent privacy and regulatory needs. Agents can run on-premise or in multiple clouds. IBM’s Granite models – a family of open-source, smaller AI models – will be available in OCI’s AI Quick Actions later this year. The models are designed for specific tasks and generally use less compute than large, multi-purpose models. Oracle will host cached versions to prioritize faster responses and reduced startup times.

Additional Services and Availability

IBM’s Envizi ESG Suite will be available on Oracle infrastructure (for collection of and reporting on data related to environmental, social, and governance), with the first rollout planned for Saudi Arabia in the next year. IBM is expanding its consulting services to help customers set up and scale AI agents on Oracle, whether native Oracle AI agents or Watsonx Orchestrate. Consultation will also be available for service migration from on-premise to Red Hat OpenShift running on OCI. IBM’s consulting arm has long experience of Oracle’s technology, the two companies having worked together for nearly 40 years.

Conclusion

In conclusion, the collaboration between IBM and Oracle is set to make a significant impact on the AI landscape. By integrating Watsonx AI tools into Oracle Cloud Infrastructure, businesses will have easier access to AI agents, making it simpler to manage and run these tools in various platforms. This partnership is expected to simplify tasks, reduce manual work, and increase efficiency in the workplace.

FAQs

  • Q: What is the main goal of the collaboration between IBM and Oracle?
    A: The main goal is to make it easier for businesses to run and manage AI agents in platforms by integrating Watsonx AI tools into Oracle Cloud Infrastructure.
  • Q: What is Watsonx Orchestrate and when will it be available?
    A: Watsonx Orchestrate allows users to manage workflows involving multiple agents in different systems and is expected to be available on OCI from July.
  • Q: Where will Orchestrate agents be able to run?
    A: Orchestrate agents will be able to run on Red Hat OpenShift on OCI, on-premise, or in multiple clouds.
  • Q: What are IBM’s Granite models and how will they be used?
    A: IBM’s Granite models are a family of open-source, smaller AI models designed for specific tasks, which will be available in OCI’s AI Quick Actions later this year to prioritize faster responses and reduced startup times.
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Sam Marten – Tech & AI Writer

Sam Marten – Tech & AI Writer

Sam Marten is a skilled technology writer with a strong focus on artificial intelligence, emerging tech trends, and digital innovation. With years of experience in tech journalism, he has written in-depth articles for leading tech blogs and publications, breaking down complex AI concepts into engaging and accessible content. His expertise includes machine learning, automation, cybersecurity, and the impact of AI on various industries. Passionate about exploring the future of technology, Sam stays up to date with the latest advancements, providing insightful analysis and practical insights for tech enthusiasts and professionals alike. Beyond writing, he enjoys testing AI-powered tools, reviewing new software, and discussing the ethical implications of artificial intelligence in modern society.

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