Show HN: Low-latency local LLM runner via OpenJDK Panama FFM (Java 22)
Summary
Low-latency local LLM runner libargus.cc combines Project Panama FFM with a Java 22 runtime to enable zero-allocation native AI inference from the JVM. It aims to unify text, speech, and multimodal pipelines using GGML/llama.cpp backends, with Java bindings and a Java API that abstracts away low-level memory management. The project emphasizes a strict separation between model loading, memory, and runtime evaluation to maximize performance and determinism.