arXiv:2606.17090v1 Announce Type: cross Abstract: ANEForge is a Python package that programs the Apple Neural Engine (ANE), the fixed-function neural accelerator on every recent Apple device, directly and without CoreML. In production the engine is reachable only through CoreML, which treats it as a scheduling option: no configuration requires the ANE, and a model can silently run on the CPU or GPU instead. ANEForge compiles a lazy tensor graph, built from 58 fused operators and 19 native bridge operators, into a single ANE program. The program is dispatched through the same ANE daemon and ker
The continuous drive for higher performance and efficiency in AI inference on edge devices, coupled with the limitations of proprietary frameworks like CoreML, necessitates direct hardware access.
This development enables direct and more efficient programming of the Apple Neural Engine, potentially unlocking significant performance gains and reducing reliance on Apple's intermediation.
Developers can now bypass CoreML to directly compile and dispatch AI tasks to the ANE, offering greater control, efficiency, and potentially broader use cases for on-device AI acceleration.
- · Apple device users
- · On-device AI developers
- · AI research community
- · Edge AI applications
- · CoreML-dependent AI solutions
- · Non-optimized edge AI frameworks
Increased prevalence and sophistication of on-device AI applications on Apple hardware due to improved performance.
Potential for Apple devices to become an even more dominant platform for edge AI development and deployment, attracting more developers to its ecosystem.
Other hardware manufacturers may be compelled to offer similar direct access to their neural processing units to remain competitive in the edge AI market.
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Read at arXiv cs.AI