diff --git a/functional-samples/sample.webgpu/README.md b/functional-samples/sample.webgpu/README.md
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+# WebGPU extension sample
+
+This sample demonstrates how to use the [WebGPU API](https://webgpu.dev/) to generate a red triangle using an extension service worker.
+
+> [!WARNING]  
+> Service worker support in WebGPU is available in Chrome 123 with the "Experimental Web Platform Features" flag.
+
+## Overview
+
+In this sample, clicking the action button opens a red triangle image in a new tab.
+
+## Running this extension
+
+1. Clone this repository.
+2. Load this directory in Chrome as an [unpacked extension](https://developer.chrome.com/docs/extensions/mv3/getstarted/development-basics/#load-unpacked).
+3. Pin the extension from the extension menu.
+4. Click the extension's action icon to open the red triangle in a new tab.
diff --git a/functional-samples/sample.webgpu/manifest.json b/functional-samples/sample.webgpu/manifest.json
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+{
+  "manifest_version": 3,
+  "name": "WebGPU Extension",
+  "description": "Generate a red triangle with WebGPU in an extension service worker.",
+  "version": "1.0",
+  "action": {
+    "default_title": "Click to see a red triangle"
+  },    
+  "background": {
+    "service_worker": "service-worker.js"
+  }
+}
diff --git a/functional-samples/sample.webgpu/service-worker.js b/functional-samples/sample.webgpu/service-worker.js
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+++ b/functional-samples/sample.webgpu/service-worker.js
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+chrome.action.onClicked.addListener(async () => {
+  const adapter = await navigator.gpu.requestAdapter();
+  const device = await adapter.requestDevice();
+
+  const canvas = new OffscreenCanvas(256, 256);
+  const context = canvas.getContext('webgpu');
+  const format = navigator.gpu.getPreferredCanvasFormat();
+  context.configure({ device, format });
+
+  const code = `
+      @vertex fn vertexMain(@builtin(vertex_index) i : u32) ->
+      @builtin(position) vec4f {
+      const pos = array(vec2f(0, 1), vec2f(-1, -1), vec2f(1, -1));
+      return vec4f(pos[i], 0, 1);
+      }
+      @fragment fn fragmentMain() -> @location(0) vec4f {
+      return vec4f(1, 0, 0, 1);
+      }`;
+  const module = device.createShaderModule({ code });
+  const pipeline = await device.createRenderPipelineAsync({
+    layout: 'auto',
+    vertex: { module },
+    fragment: { module, targets: [{ format }] }
+  });
+  const commandEncoder = device.createCommandEncoder();
+  const colorAttachments = [
+    {
+      view: context.getCurrentTexture().createView(),
+      loadOp: 'clear',
+      storeOp: 'store'
+    }
+  ];
+  const passEncoder = commandEncoder.beginRenderPass({ colorAttachments });
+  passEncoder.setPipeline(pipeline);
+  passEncoder.draw(3);
+  passEncoder.end();
+  device.queue.submit([commandEncoder.finish()]);
+
+  // Open canvas as an image in a new tab.
+  const blob = await canvas.convertToBlob();
+  const reader = new FileReader();
+  reader.onload = () => chrome.tabs.create({ url: reader.result });
+  reader.readAsDataURL(blob);
+});