Gemma 3n Interactive Experience

Experience powerful AI features directly in your browser. Code completion • Language translation • Intelligent Q&A

Ultra-fast Response

Millisecond-level AI inference, real-time interaction

🔒

Privacy First

All data processed locally, never uploaded to the cloud

🎯

Multi-scenario Support

Coding, translation, chat — one model for all

Interactive AI Demo

This is a simulated version showing how Gemma 3n works in real-world scenarios. For production, use ONNX.js or WebAssembly to run the real model.

🚀 Gemma 3n Interactive Demo

Experience in-browser AI inference - fully local, no server required

Initializing lightweight AI model...
Conservative Creative 0.7
AI-generated content will appear here...
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Tokens/sec
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Inference Time (ms)
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Memory Usage (MB)
2.1GB
Model Size

About this Demo

Current Features

  • Simulates Gemma 3n inference process and response style
  • Realistic UI and interaction flow
  • Performance metrics based on real hardware data
  • Supports three core application scenarios

Production Version

  • Load real Gemma 3n model with ONNX.js
  • Accelerated inference with WebAssembly
  • Full tokenizer and post-processing pipeline
  • Supports model quantization and optimization

Technical Implementation Path

Upgrade the demo to a full-fledged AI application tech stack

🌐 Frontend Architecture

Lightweight Inference Engine

// ONNX.js integration
import * as ort from 'onnxruntime-web';

// Load model
const session = await ort.InferenceSession
  .create('/models/gemma-3n-e2b.onnx');

// Inference
const results = await session.run(feeds);

WebAssembly Optimization

// WebAssembly tokenizer
import init, { tokenize } from './pkg/tokenizer.js';

// Initialize WASM module
await init();

// High-performance tokenization
const tokens = tokenize(inputText);

🤖 Model Deployment

Model Conversion

  • Hugging Face → ONNX
  • Dynamic quantization (INT8)
  • Graph optimization and constant folding
  • WebGL backend adaptation

CDN Distribution

  • Global acceleration with Cloudflare
  • Chunked download strategy
  • Browser cache optimization
  • Progressive loading

Performance Optimization

  • Web Workers multithreading
  • SharedArrayBuffer
  • WebGPU acceleration (future)
  • Memory pool management

💰 Zero-cost Solution Advantages

Traditional Cloud AI Cost

  • 🔴 OpenAI API: $0.002/1K tokens
  • 🔴 Azure OpenAI: $0.0015/1K tokens
  • 🔴 Google Cloud AI: $0.001/1K tokens
  • 🔴 Monthly: $200-2000 (medium traffic)

Gemma 3n On-device Solution

  • ✅ Inference cost: $0
  • ✅ CDN: $0 (Cloudflare free tier)
  • ✅ Storage: $0 (static hosting)
  • ✅ Monthly: $0 + $12/year domain

Ready to build your AI app?

Start with tutorials and master the power of Gemma 3n step by step.

PWA已就绪