WebDNN
A framework for running deep neural network models directly in web browsers using ONNX format with WebGPU, WebGL, and WebAssembly backends.
What is WebDNN?
WebDNN is a framework that enables deep neural network models to run directly in web browsers using the ONNX format. It solves the problem of server-side dependency for AI inference by allowing models to be executed client-side with hardware acceleration.
Web developers and machine learning engineers who need to deploy pre-trained DNN models in browser-based applications without backend servers.
Developers choose WebDNN for its ability to run models directly in the browser with support for multiple acceleration backends, reducing latency and server costs while maintaining high performance.
Overview
The Fastest DNN Running Framework on Web Browser
Use Cases
Best For
- Deploying ONNX-based deep learning models in web applications
- Running neural network inference directly in the browser without a server
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