
Explore JLama, a cutting-edge inference engine designed to empower Java developers with native AI capabilities. Discover how this innovative tool brings the power of large language models directly into the Java ecosystem without the need for GPUs. Learn…

Implement efficient local LLM inference in Java, leveraging modern features for CPU-based performance without specialized hardware. Explore flexible frameworks adaptable to multiple architectures.

Explore Java's Vector API for efficient parallel processing, enhancing performance in scientific computing, machine learning, and data-intensive applications.

Explore high-performance numerics on JVM, focusing on Vector API Project challenges, current state, and future directions for Java development.

Explore Java 19's innovative features: structured concurrency, record patterns, foreign function API, virtual threads, pattern matching for switch, vector API, and Linux/RISC-V support.

Explore Java 19's innovative features for creating scalable, secure enterprise applications. Learn about Structured Concurrency, Record Patterns, Foreign Function API, Virtual Threads, and more from Oracle experts.

Explore JDK 18's enhancements, including Simple Web Server, UTF-8 by default, pattern matching for switch, and Foreign Function & Memory API. Learn about new features and improvements in Java's latest release.

Explore JDK 17's new features, enhancements, and updates in this comprehensive overview. Learn about sealed classes, pattern matching, library improvements, and future-proofing techniques for Java developers.

Explore Java's Vector API enhancements in JDK 17, enabling data parallel computation with SIMD hardware. Learn implementation, future plans, and connections to Project Valhalla.

Explore Java 17's new features, including sealed classes, pattern matching, and enhanced PRNGs. Learn about API improvements and important changes in this LTS release.

Explore Java 16's new features, release cadence, and gradual integration of Valhalla bits with JVM Engineering Director Mikael Vidstedt in this informative podcast episode.

Explore the new Vector API with Java experts John Rose and Paul Sandoz, discussing SIMD, Project Panama, and advancements in Java performance optimization.

Explore Java's Vector API for SIMD-based parallel computing, boosting performance through CPU optimization. Learn creation, manipulation, and efficient use of vectors for various computations.

Explore Java 17's new features, including licensing changes and Project Panama updates. Gain insights from Java experts on the Free Java License and Vector API advancements.

Explore Java 16's innovations, including pattern matching, record types, and JVM improvements. Gain insights into future enhancements and practical applications.

Explore SIMD programming in Java with the Vector API, enabling platform-agnostic, data-parallel operations for enhanced performance and efficiency in your applications.

Explore SIMD parallel programming techniques using the Vector API, enhancing performance and efficiency in Java applications.

Explore Vector API in Java and TornadoVM for GPU/FPGA computing. Enhance processing power and performance through advanced JVM techniques and native-code tooling.

Explore Java 23's Vector API with expert Zoran Sevarac. Learn about scalar and vector computations, API basics, HotSpot's auto-vectorization, and practical applications for developers.

Explore OpenJDK 17's new features and enhancements, covering language updates, core APIs, and JVM changes. Prepare for migration from JDK 8 or 11 to leverage modern Java capabilities.

Explore OpenJDK 17's new features and enhancements, including switch expressions, text blocks, records, pattern matching, and APIs for foreign memory access, vectors, and foreign linking.