Learn WEBGPU with Real Code Examples

Use WebGPU directly in modern browsers (Chrome, Edge, Firefox Nightly)

Enable experimental flags if required

Include JS code to request adapter and device

Set up canvas + GPU context

Start rendering pipeline with WGSL shaders

Modern browser with WebGPU

HTTPS hosting

WGSL shader files

Optional: bundler setup

Optional: Node.js headless WebGPU backend

index.html - canvas + script loader

main.js - WebGPU initialization

shaders.wgsl - shader code

assets/ - textures, models

optional bundler configs (Vite/Parcel)

vite dev -> local development

esbuild bundling

npm create webgpu-app

GPU debugging tools via chrome://gpu

Shader validation via wgsl-analyzer

Handled via JS/HTML layer

WebGPU content remains universal

Text rendering controlled by CPU-side libraries

Localization independent of rendering

Globalization through browser features

Use semantic HTML for UI controls

Canvas output should have ARIA labels

Animated scenes require motion preferences

Browser-native accessibility features apply

WebGPU does not directly manage A11Y

Handled in HTML/CSS separately

Canvas used for WebGPU output

UI overlays via DOM/CSS

Shaders handle rendering style

WebGPU is logic/render only

GPU-side buffers store high-volume state

BindGroup updates handle dynamic data

JavaScript controls high-level UI state

GPU computes final rendering state

Frame-by-frame GPU updates

Use GPU buffers for structured data

Textures for images + storage

Minimize CPU-GPU data transfers

Use mappedAtCreation for bulk uploads

Prefer storage buffers for ML workloads