Learn WEBGPU with Real Code Examples

Browser GPU abstraction layer

WebGPU API surface

WGSL shader pipeline

Command encoder -> command buffer -> queue

GPU driver + hardware backend (Metal/DX12/Vulkan)

Command encoder records GPU ops

Commands -> command buffer

Submitted to GPU queue

WGSL shader pipelines run

GPU renders/executes compute workloads

Forward/deferred rendering engines

GPU ML inferencing frameworks

Game engine scene graphs

Real-time simulation loops

Ray-tracing via compute shaders

WebGPU game engine pipelines

3D CAD web apps

ML inference in browser (transformers)

Scientific visualization dashboards

Simulation engines (fluid/physics)

Explicit GPU control

Predictable performance

Cross-platform abstraction

Security through validation

Compute + rendering unification

Use bind groups for stable data binding

Batch GPU work into few command buffers

Prefer compute shaders for heavy logic

Distribute workloads across multi-queue

Use streaming buffers for large updates

Identify WebGL -> WebGPU workloads

Rewrite shaders in WGSL

Switch to explicit pipeline setup

Move state to GPU buffers

Adopt compute shaders for transforms