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.