Apple Core AI Framework
Summary
Apple introduces Core AI Framework, a new tool for on-device machine learning.
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@akshay_pachaar: Apple finally did it. Its new framework, Core AI, runs models entirely on Apple silicon, so inference happens on the us…
Apple released Core AI, a new framework that runs AI models entirely on Apple silicon devices (iPhone, iPad, Mac, Vision Pro) with zero server calls. It includes a memory-safe Swift API, model export recipes for PyTorch, an optimizer, and debugging tools, supporting models like Qwen, Mistral, and SAM3.
Apple announced new on device inference engine for Apple Silicon
Apple announced CoreAI, a new on-device inference engine for Apple Silicon at WWDC, replacing CoreML and supporting larger models up to 20B parameters via optimized inference, with a focus on phones and tablets.
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@0x0SojalSec: Apple hid 15.8 TFLOPS of raw AI power in every M4 Mac & iPhone. They only let you use the Neural Engine for inference. …
A developer reverse-engineered Apple's private APIs to enable training neural networks directly on the Apple Neural Engine (ANE) in M4 Macs and iPhones, bypassing CoreML and GPU. The project demonstrates that ANE hardware is capable of training, though with limitations like low utilization and CPU fallbacks for some operations.