Overview
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Explore how the Java Virtual Machine is evolving to meet the demands of modern artificial intelligence and machine learning in this 52-minute conference talk. Discover the hardware challenges and virtual machine adaptations necessary for the JVM to become a competitive platform for AI development. Learn about key projects including Project Valhalla and Project Babylon, which are reshaping JVM capabilities for AI workloads. Examine standardization efforts such as JSR381 Visual Recognition API and understand how initiatives like TornadoVM are pushing the boundaries of JVM performance for machine learning applications. Gain a comprehensive bird's-eye view of the technical innovations and architectural changes that position the JVM as a viable alternative to traditional AI development platforms, moving beyond the typical LLM-as-a-Service discussions to focus on the underlying infrastructure that makes AI possible on the JVM.
Syllabus
GeeCON 2025: Artur Skowronski - JVM in the Age of AI: Babylon, Valhalla, TornadoVM and friends
Taught by
GeeCON Conference