Experimental: This is an experimental technology
Check the Browser compatibility table carefully before using this in production.

The GPUComputePipeline interface of the WebGPU API represents a pipeline that controls the compute shader stage and can be used in a GPUComputePassEncoder.

A GPUComputePipeline object instance can be created using the GPUDevice.createComputePipeline() or GPUDevice.createComputePipelineAsync() methods.

Instance properties

label Experimental

A string providing a label that can be used to identify the object, for example in GPUError messages or console warnings.

Instance methods

getBindGroupLayout() Experimental

Returns the pipeline's GPUBindGroupLayout object with the given index (i.e. included in the originating GPUDevice.createComputePipeline() or GPUDevice.createComputePipelineAsync() call's pipeline layout).


Note: The WebGPU samples feature many more examples.

Basic example

Our basic compute demo shows a process of:


// ...

const bindGroupLayout = device.createBindGroupLayout({
  entries: [
      binding: 0,
      visibility: GPUShaderStage.COMPUTE,
      buffer: {
        type: "storage",

const computePipeline = device.createComputePipeline({
  layout: device.createPipelineLayout({
    bindGroupLayouts: [bindGroupLayout],
  compute: {
    module: shaderModule,
    entryPoint: "main",

// ...


# gpucomputepipeline

Browser compatibility

BCD tables only load in the browser

See also