Webgpu Core Architecture

WebGPU Core Architecture

Initialize WebGPU correctly through the navigator.gpu entry point and the adapter, device, queue model, and reason about the 4-phase application runtime. Baseline: WebGPU 1.0-stable (Chrome 113+, Safari 26+, Firefox 141+).

Quick Reference

WebGPU is a layered API. The entry point exposes the GPU interface. WebGPU ALWAYS requires a secure context (HTTPS or localhost). On insecure origins navigator.gpu is undefined.

The three-step async chain:

const adapter = await navigator.gpu.requestAdapter(options?);  // Promise<GPUAdapter | null>
const device  = await adapter.requestDevice(descriptor?);       // Promise<GPUDevice>
const queue   = device.queue;                                   // GPUQueue property

Decision Tree

Is navigator.gpu defined?
├─ NO  → page is not on a secure context, OR the browser lacks WebGPU.
│        ALWAYS show a fallback message. STOP. Do not call requestAdapter.
└─ YES → call navigator.gpu.requestAdapter(options)

Which powerPreference?
├─ Real-time 3D, games, heavy compute → "high-performance"
├─ UI effects, battery-sensitive, mobile → "low-power"
└─ Unsure → omit powerPreference entirely (the UA chooses)

Need to test the software/portability path?
├─ YES → set forceFallbackAdapter: true to request a fallback adapter
└─ NO  → omit forceFallbackAdapter

Did requestAdapter resolve to null?
├─ YES → no compatible GPU. ALWAYS show a fallback message. STOP.
└─ NO  → call adapter.requestDevice(descriptor)

After requestDevice resolves:
├─ ALWAYS register device.lost.then(...) BEFORE creating resources
└─ Access the queue as device.queue (property), then create resources

Core Patterns

Pattern 1: ALWAYS guard navigator.gpu before any WebGPU call

navigator.gpu is undefined on insecure origins and in browsers without WebGPU. Accessing .requestAdapter on undefined throws a TypeError.

if (!navigator.gpu) {
  throw new Error("WebGPU is not available. Use HTTPS or localhost, and a supporting browser.");
}

Pattern 2: ALWAYS null-check the adapter

requestAdapter() returns Promise<GPUAdapter | null>. null is a valid resolution, NOT a rejection. It means no compatible GPU was found.

const adapter = await navigator.gpu.requestAdapter({ powerPreference: "high-performance" });
if (!adapter) {
  throw new Error("No WebGPU adapter found.");
}

Pattern 3: ALWAYS register device.lost before creating resources

requestDevice() never throws for runtime failures. It can resolve to a GPUDevice that has already been lost. Register the lost handler first so loss is observed even if it happens during initialization.

const device = await adapter.requestDevice();
device.lost.then((info) => {
  console.error(`Device lost: ${info.reason} : ${info.message}`);
  // See webgpu-errors-device-loss for the full recovery pattern.
});

Pattern 4: ALWAYS access device.queue as a property, NEVER as a call

device.queue is a read-only GPUQueue property. Calling device.queue() throws TypeError: device.queue is not a function.

const queue = device.queue;            // correct
queue.submit([commandBuffer]);          // correct
// const queue = device.queue();        // WRONG, throws TypeError

Pattern 5: Request only the features and limits you need

requestDevice() accepts a GPUDeviceDescriptor with requiredFeatures and requiredLimits. ALWAYS feature-detect against adapter.features first. Requesting an absent feature makes requestDevice() fail.

const device = await adapter.requestDevice({
  label: "main-device",
  requiredFeatures: adapter.features.has("shader-f16") ? ["shader-f16"] : [],
});

Pattern 6: The device is the root owner

The adapter is the physical implementation. The device is a logical connection that abstracts the implementation so the owner acts as if it is the sole user of the adapter. Every buffer, texture, pipeline, and bind group is created from the device and is owned by it. When the device is lost, all child objects are freed together. ALWAYS recreate every resource against a new device after recovery.

Common Anti-Patterns

1. Not null-checking the adapter. requestAdapter() can resolve to null. Code that does await navigator.gpu.requestAdapter() then adapter.requestDevice() throws TypeError: Cannot read properties of null on machines with no compatible GPU.

2. Calling device.queue() as a method. device.queue is a read-only property. device.queue() throws TypeError: device.queue is not a function.

3. Assuming requestDevice() rejects on failure. It does not. It resolves to a GPUDevice that may already be lost. Code that omits a device.lost handler silently produces a dead device.

See references/anti-patterns.md for the full list with WHY-it-fails explanations, including reusing a stale adapter after device loss.

Critical Warnings

• NEVER call navigator.gpu.requestAdapter without first checking navigator.gpu is defined. It is undefined on insecure origins.
• NEVER assume requestAdapter() rejects when no GPU is present. It resolves to null. ALWAYS null-check.
• NEVER call device.queue as a function. It is a read-only GPUQueue property.
• NEVER assume requestDevice() rejects on runtime failure. It can resolve to an already-lost device. ALWAYS register device.lost.
• NEVER reuse a stale GPUAdapter after a device loss. The adapter itself can become invalid. ALWAYS re-request the adapter. See webgpu-errors-device-loss.
• NEVER request a feature or limit without checking adapter.features and adapter.limits first. See webgpu-core-limits-features.
• NEVER hardcode the canvas format. Use navigator.gpu.getPreferredCanvasFormat(). See webgpu-core-cross-browser.

Reference Files

• references/methods.md : complete API signatures for GPU, GPUAdapter, GPUDevice, GPUQueue, GPUAdapterInfo, requestAdapter, and requestDevice.
• references/examples.md : verified WebGPU initialization code, from minimal setup to feature negotiation and worker contexts.
• references/anti-patterns.md : initialization mistakes with WHY-it-fails explanations.

Related skills:

• webgpu-core-limits-features : negotiating requiredFeatures and requiredLimits.
• webgpu-core-cross-browser : browser differences, secure context, preferred canvas format.
• webgpu-errors-device-loss : the full device-loss recovery pattern.