Unlocking the Apple Neural Engine for Privacy-First AI
A technical breakdown of how we optimize language models to run with maximum efficiency on M-series and A-series silicon.
ZT
Zap Team
Engineering
February 18, 202612 min read
The secret sauce of Zap is how we leverage the Apple Neural Engine (ANE). While others use the GPU, we focus on the dedicated AI silicon inside every M-series chip.
Optimizing for ANE
We use CoreML and specialized quantization techniques to:
•Reduce Power Consumption — Zap won't drain your battery while transcribing.
•Maximized Throughput — Process thousands of tokens per second locally.
•Thermal Efficiency — Keep your device cool even during intensive AI tasks.
By writing directly to the metal, we're able to run models that would normally require a high-end desktop GPU on a device that fits in your pocket.
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Published by Zap Inc.