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Series
The future of Java and AI
How the Java ecosystem is adapting to the AI era
On this page
About this series
AI is forcing every enterprise to rethink how applications are built, deployed, and governed. For Java, this isn’t uncharted territory. The platform was always grounded on a balance between rapid innovation and long-term stability through open standards. The same formula applies today.
In this three-part series, I look at how the Java ecosystem is adapting to the AI era and how IBM and Red Hat are investing to secure its future.
- Article
From Standards to Speed: Why Quarkus Leads the AI-Ready Jakarta EE Future
The future of enterprise Java and AI is secure with Quarkus and Jakarta EE. Quarkus provides a cloud-native Java stack with build-time optimization and instant startup. It supports AI-powered applications through LangChain4j. IBM invests in both, driving innovation and ensuring stability. Quarkus allows enterprises to innovate safely, designing AI-driven services that can be deployed in production and supported by Jakarta EE components. This ensures a stable and secure future for enterprise Java and AI.
- Article
AI at Scale: Red Hat OpenShift AI as the Enterprise Backbone for Java Workloads
Discover the challenges of running AI in production at enterprise scale. Java alone is not enough, as AI workloads require a platform designed for scale. Red Hat OpenShift AI provides the operational backbone, extending Kubernetes with capabilities for building, deploying, and managing AI workloads. It ensures governance, observability, and portability, aligning with open standards. This allows Java developers to treat AI workloads with the same discipline as other enterprise services, making AI viable at enterprise scale. IBM and Red Hat are investing in open standards and products to secure the future of enterprise Java and AI.
- Article
Granite and watsonx: Open Models for the Next Generation of Enterprise AI with Java
Learn about using Granite models and watsonx for enterprise AI with Java. Understand the importance of openness, interoperability, and long-term support in AI adoption. Granite models provide an open foundation for AI, while watsonx delivers enterprise governance and lifecycle management. The combination of Quarkus, LangChain4j, Jakarta EE, and Red Hat OpenShift AI provides a complete story for confident AI adoption. This approach aligns AI adoption with the principles that made Java successful, ensuring investments remain valuable over time.