Show HN: Kernx – A deterministic Java 25 runtime (66k req/s, <1ms latency) (github.com)

Kernx has launched a groundbreaking deterministic execution engine designed specifically for managing massive swarms of AI agents. This high-performance runtime, built on Java 25, addresses the complex "Concurrency Problem" by allowing the simultaneous operation of up to 1,000,000 stateful agents without the risks of deadlocks or race conditions. Kernx replaces traditional microservices architecture with a "Fan-In" model that utilizes ultra-fast, lock-free memory queues to handle thousands of concurrent HTTP requests, achieving impressive benchmarks of 66,000 requests per second with latencies under one millisecond. This technology is significant for the AI and machine learning communities as it streamlines the architecture needed to scale AI applications efficiently, providing a robust alternative to micromservices that can lead to performance bottlenecks. Kernx's innovative approach includes utilizing "Bleeding Edge" features from Java 25, such as virtual threads, enabling unprecedented concurrency on a single CPU. Additionally, its built-in Layer 7 Firewall with Dynamic Packet Inspection enhances security, allowing developers to block threats in real time without service interruptions. By making Kernx free for developers and startups, it catalyzes broader adoption of advanced AI capabilities in production environments.