JavaOne 2026 Session

Summary

As AI becomes central to enterprise innovation, developers face the challenge of integrating it into large-scale Java systems without losing performance, scalability, or security. New Java features such as the Foreign Function & Memory (FFM) API and Vector API unlock GPU acceleration and new performance frontiers for AI workloads. These innovations enable optimized, portable, and maintainable AI pipelines fully in Java, with seamless CPU/GPU execution.

This session demonstrates how to build Java-native AI using modern libraries and benchmarks showing performance on par with industry standards, while improving operational efficiency, maintainability, and security. Attendees will see how frameworks like Deep Netts combine deep learning capabilities with the robustness of the JVM to build, train, and deploy neural networks directly in Java, eliminating the need for Python bridges and simplifying enterprise AI integration.