Agentic Design

Patterns

Web Browser Inference

Browser-Based AI Inference

Run powerful AI models directly in web browsers using WebGPU and WebAssembly. This approach enables privacy-preserving, cost-effective AI applications that work offline after initial model loading.

WebLLM

High-performance in-browser LLM inference using WebGPU and WebAssembly

Key Features
WebGPU acceleration
OpenAI-compatible API
80% native performance
Privacy-preserving
npm install @mlc-ai/web-llm
BrowserAI

Run production-ready LLMs directly in your browser with TypeScript support

Key Features
100% Private
WebGPU Accelerated
Zero Server Costs
Offline Capable
npm install @browserai/browserai
picoLLM

Cross-browser local LLM inference using WebAssembly with SIMD acceleration

Key Features
Cross-browser compatible
WebAssembly SIMD
WebWorker support
11.5 tokens/sec
npm install Contact provider
Transformers.js

Run Hugging Face models directly in browsers using ONNX.js

Key Features
ONNX.js backend
Hugging Face ecosystem
Web Workers
Multiple model types
npm install @xenova/transformers

Browser Support

WebGPU Support
  • ✓ Chrome 113+
  • ✓ Edge 113+
  • ⚠ Firefox (experimental)
  • ⚠ Safari (experimental)
WebAssembly Support
  • ✓ All modern browsers
  • ✓ SIMD support in latest versions
  • ✓ Multi-threading with Workers

AI Inference Guide

closed
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Core Concepts

4
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Deployment Options

3
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Tools & Services

2
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Advanced Topics

2
Built by Kortexya