Discover Core AI, Apple’s new framework for on-device AI model deployment. Tour the ecosystem, from Python libraries for converting, authoring, and optimizing models, to a Swift API for simple plug-and-play inference and advanced use cases with strict latency and memory requirements. Explore the new Core AI models repository with ready-to-run examples for popular architectures. See how deep Xcode integration, including ahead-of-time model compilation, streamlines the workflow so you can deliver smarter, more responsive app experiences.
Dive into Core AI model authoring and optimization:
Dive into the complete custom model deployment workflow for Apple silicon with the new Core AI framework. Discover powerful techniques for authoring models using custom Metal kernels, alongside platform-aware compression strategies. The new Core AI Debugger offers deep intrinsic analysis, and AI-assisted workflows guide you from initial concept to optimized on-device execution.
Integrate on-device AI models into your app using Core AI:
Discover a curated collection of popular open-source models — including Qwen, Mistral, SAM3, and more — optimized for Apple silicon using the new Core AI Framework. Learn how to download, run, and benchmark models on your Mac, and integrate them into your app with just a few lines of code. Explore a new workflow for model compilation and on-device specialization to speed up first-time model load. Find out how to profile and optimize runtime performance with Core AI tools in Xcode.
Core AI Documentation (Hacker News):
Core AI helps you build, run, and deploy AI models in your app. Designed with Apple silicon in mind, Core AI allows your app to use the latest model architectures and inference techniques across the CPU, GPU, and Neural Engine. The Swift API makes common tasks simple, while giving you more control over model specialization, caching, and inference performance when needed.
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Artificial Intelligence Core AI iOS iOS 27 Mac macOS 27 Golden Gate Programming Xcode
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