Zero-Copy GPU Inference from WebAssembly on Apple Silicon: Direct Memory Sharing Between Wasm and GPU
By
agambrahma
Master baker tier. Every paragraph earns its place on the tray.
Summary
The article describes a technical breakthrough on Apple Silicon where WebAssembly modules can share linear memory directly with the GPU, enabling zero-copy GPU inference. This eliminates the need for expensive serialization and data copying across buses that normally separate Wasm sandboxes from accelerators. The technique allows a Wasm guest to fill a matrix in its linear memory, have the GPU read it, compute results, write back, and have the guest see results through the same pointer without any data copies.
Key quotes
· 4 pulledon Apple Silicon, a WebAssembly module's linear memory can be shared directly with the GPU: no copies, no serialization, no intermediate buffers
The CPU and GPU read and write the same physical bytes
a Wasm guest fills a matrix in its linear memory, the GPU reads it, computes, writes back, and the guest sees the result through the same pointer, same memory, zero copies
Normally Wasm and GPUs are separated by an expensive serialization boundary: on most hardware, getting data from a VM sandbox to an accelerator means copying across a bus
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