2 comments
Wow, this seems to be a new way to convert PyTorch models to a format that runs across CPU, GPU & Apple's Neural Engine (ANE). [0]<p>Does this completely replace the previous API, CoreML? [1]<p><pre><code> [0]: https://apple.github.io/coreai-optimization/
[1]: https://developer.apple.com/documentation/coreml/</code></pre>
Yes. From the CoreAI docs:<p>"If your app uses model types other than neural networks, such as decision trees or tabular feature engineering, see Core ML."
seems they planning to replace it but overall now I'm really confused about this and mlx and coremltools. They should do better work explaining the benefits (and cons) of it and any feature parity between coreai, coreml and mlx.
Requires OS 27+, so CoreML is still useful for backwards compatibility.
WWDC 2026 Core AI videos<p>Meet Core AI - <a href="https://developer.apple.com/videos/play/wwdc2026/324/" rel="nofollow">https://developer.apple.com/videos/play/wwdc2026/324/</a><p>Dive into Core AI model authoring and optimization -
<a href="https://developer.apple.com/videos/play/wwdc2026/325/" rel="nofollow">https://developer.apple.com/videos/play/wwdc2026/325/</a><p>LLM search using Core Spotlight -
<a href="https://developer.apple.com/videos/play/wwdc2026/246/" rel="nofollow">https://developer.apple.com/videos/play/wwdc2026/246/</a><p>Integrate on-device AI models into your app using Core AI -
<a href="https://developer.apple.com/videos/play/wwdc2026/326/" rel="nofollow">https://developer.apple.com/videos/play/wwdc2026/326/</a>