Zero-Copy GPU Inference from WebAssembly on Apple Silicon

Summary

Abacus Noir published a technical deep-dive demonstrating that a WebAssembly module's linear memory can be shared directly with Apple Silicon's unified memory GPU, eliminating copies, serialization, and intermediate buffers during AI inference. The approach enables a zero-copy data path from Wasm linear memory to Metal GPU execution, which the authors claim significantly reduces latency and memory overhead for stateful AI inference workloads on Apple hardware. The article details the architectu