AI at the Speed of Silicon: How Java Talks Directly to Hardware

AI workloads live and die by performance—and the secret to true speed isn’t just smarter algorithms, it’s smarter execution on silicon. In this hands-on session, we dive deep into how modern Java can accelerate AI and data processing by directly leveraging CPU features like SIMD instructions, the Panama Vector API, cache locality, and just-in-time (JIT) compilation. You’ll see how Java can match native languages for AI inference, matrix math, and cryptographic operations essential to securing AI pipelines. From real-time vector computations to quantum-resistant encryption for AI security, this session will show you how Java doesn’t just run AI—it powers it at hardware speed.

Prerequisites

• JDK 25 (set JAVA_HOME)
  • Download Openjdk/Oracle JDK 25, eg: https://www.oracle.com/in/java/technologies/downloads/
  • export JAVA_HOME=your_java_downloaded_location
  • export PATH=$JAVA_HOME/bin:$PATH
• Maven 3.8+
• Any IDE

Note: Sample project repo is shared over email