WebGPU Integration

Unlock the full power of GPU-accelerated computing in the browser with our native WebGPU implementation for real-time graphics and machine learning.

Get Started GitHub

Native Performance

Direct WebGPU API access with zero abstraction layers for maximum rendering efficiency.

Cross-Platform

Works seamlessly on all major operating systems and browsers with full Vulkan/DirectX12 backend support.

Developer Tools

Integrated GPU debugger, shader compiler, and performance profiler for optimized workflows.

Getting Started with WebGPU

1. Initialize WebGPU


// Initialize WebGPU device
const adapter = await navigator.gpu.requestAdapter();
const device = await adapter.requestDevice();

// Create rendering context
const context = HTMLCanvasElement.getContext('webgpu');
context.configure({
  device: device,
  format: 'bgra8unorm',
  alphaMode: 'opaque'
});

Our runtime automatically optimizes shader compilation and resource management for maximum performance.

2. Render Pipeline


// Create render pipeline
const pipeline = device.createRenderPipeline({
  vertex: {
    module: device.createShaderModule({
      code: vertexShaderCode
    }),
    entryPoint: 'main',
  },
  fragment: {
    module: device.createShaderModule({
      code: fragmentShaderCode
    }),
    entryPoint: 'main',
    targets: [{ format: 'bgra8unorm' }],
  },
  primitive: {
    topology: 'triangle-list',
  }
});

Performance Benchmarks

Graphics APIs

DirectX 12
Vulkan
Metal
OpenGL

FPS Comparison

850% ↑

WebGPU vs WebGL benchmark in complex 3D rendering scenarios.

Memory Usage

42% ↓

Memory optimizations compared to native implementations.

Shader Compilation

75% ↑

Faster compile times with our optimized toolchain.