Uploaded June 2026 | Updated September 2026, 1 week ago
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.
Explore related documentation, sample code, and more:
Core AI PyTorch Extensions: apple.github.io/coreai-torch
Core AI Python: apple.github.io/coreai-torch/main/coreai-core
Core AI Optimization: apple.github.io/coreai-optimization
Core AI: developer.apple.com/documentation/CoreAI
Compiling Core AI models ahead of time: developer.apple.com/documentation/CoreAI/compiling-core-ai-models-ahead-of-time
Managing model specialization and caching: developer.apple.com/documentation/CoreAI/managing-model-specialization-and-caching
Integrate on-device AI models into your app using Core AI: developer.apple.com/videos/play/wwdc2026/326
Dive into Core AI model authoring and optimization: developer.apple.com/videos/play/wwdc2026/325
Optimize custom machine learning operations with Metal tensors: developer.apple.com/videos/play/wwdc2026/330
Deploy models on-device with Core AI: developer.apple.com/videos/play/wwdc2026-shorts/228
00:00 - Introduction
00:33 - What is Core AI
04:57 - Model conversion
06:16 - App integration
10:48 - Profiling with Instruments
11:15 - Optimizing performance
14:13 - Additional features
15:34 - Specialization
20:07 - Next steps
More Apple Developer resources:
Video sessions: apple.co/VideoSessions
Documentation: apple.co/DeveloperDocs
Forums: apple.co/DeveloperForums
App: apple.co/DeveloperApp
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.
Explore related documentation, sample code, and more:
Core AI PyTorch Extensions: apple.github.io/coreai-torch
Core AI Python: apple.github.io/coreai-torch/main/coreai-core
Core AI Optimization: apple.github.io/coreai-optimization
Core AI: developer.apple.com/documentation/CoreAI
Compiling Core AI models ahead of time: developer.apple.com/documentation/CoreAI/compiling-core-ai-models-ahead-of-time
Managing model specialization and caching: developer.apple.com/documentation/CoreAI/managing-model-specialization-and-caching
Integrate on-device AI models into your app using Core AI: developer.apple.com/videos/play/wwdc2026/326
Dive into Core AI model authoring and optimization: developer.apple.com/videos/play/wwdc2026/325
Optimize custom machine learning operations with Metal tensors: developer.apple.com/videos/play/wwdc2026/330
Deploy models on-device with Core AI: developer.apple.com/videos/play/wwdc2026-shorts/228
00:00 - Introduction
00:33 - What is Core AI
04:57 - Model conversion
06:16 - App integration
10:48 - Profiling with Instruments
11:15 - Optimizing performance
14:13 - Additional features
15:34 - Specialization
20:07 - Next steps
More Apple Developer resources:
Video sessions: apple.co/VideoSessions
Documentation: apple.co/DeveloperDocs
Forums: apple.co/DeveloperForums
App: apple.co/DeveloperApp
