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title: WWDC26: Meet Core AI | Apple | daily.dev
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# WWDC26: Meet Core AI | Apple

**[Apple Developer](https://daily.dev/sources/appledeveloper)** · 20 min read · 0 upvotes · 0 comments

## Summary

Apple introduced Core AI at WWDC26, a new on-device AI inference framework for Apple Silicon that powers Apple Intelligence and is now available to third-party developers. It supports CPU, GPU, and Neural Engine execution, offers a modern Swift API with memory-safe non-escapable types, and integrates with PyTorch for model conversion via the coreai-torch Python package. The talk walks through converting a PyTorch model to the .aimodel format, integrating it into an Xcode project, and optimizing inference using key-value caching via stateful models. Additional features include ahead-of-time compilation, model specialization and caching APIs, a visual debugger for tracing tensor values back to Python source, dedicated Instruments support, and a Core AI Models repository with pre-optimized popular models. All inference runs locally with no server costs or per-token fees.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=XJFfCVW1UZ0>

## Similar posts on daily.dev

- [Apple Launches Core AI for Apple-Silicon Optimized On-Device Generative AI](https://daily.dev/posts/apple-launches-core-ai-for-apple-silicon-optimized-on-device-generative-ai-dfllineyn) · InfoQ · 1 upvotes · 0 comments

---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#swift](https://daily.dev/tags/swift), [#pytorch](https://daily.dev/tags/pytorch)

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