Apple announced Core AI at WWDC26 as the successor to Core ML, positioning it as a developer-facing framework for running large language models and generative workloads optimized for Apple Silicon, according to Apple Developer documentation and contemporary coverage by InfoQ and 9to5Mac. Apple Developer documentation describes Core AI as engineered for on-device performance with “zero server dependencies and zero token costs,” and it integrates with a new Foundation Models framework that exposes Apple Foundation Models and third-party models via a Swift language-model protocol. 9to5Mac highlighted WWDC demos that included a 1-trillion-parameter Kimi 2.6 model running locally across four Mac Studios using low-latency macOS Tahoe 26.2 networking. Reporting also notes Vision, Speech, Dynamic Profiles, and an Evaluations framework in the developer materials.
