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The Phase 2 wasi:webgpu proposal has a 0.3 release candidate, mapping WebGPU-style GPU access into WASI for portable, sandboxed compute across servers, desktops, Android, and the web.
William Candillon’s Redraw explores WebGPU-native 2D path rendering, with programmable Bézier geometry, variable stroke widths, vector feathering, and TypeScript shader functions.
Moonshot’s Kimi K3 launch includes a notable WebGPU case study: an AI-built procedural 3D exploration game using Three.js WebGPU and GPU compute.
Alexsandro Souza’s WebGPU Cluster turns browser tabs into shared AI inference nodes, with WebGPU hosts running RF-DETR or SmolVLM behind a simple HTTP API.
Eric Zhang’s jax-js is a pure JavaScript ML framework that compiles NumPy/JAX-style array code into WebAssembly and WebGPU kernels for client-side experiments.
