v2.0 WebGPU Engine Live
Run AI in the browser.
Zero API calls. Zero cost.
EdgeInfer is the premier on-device inference engine. Deploy massive models directly to your users' devices with WebGPU and WASM SIMD.
// Live Sentiment Analysis (On-Device)
Neutral
0%
The Cost Devastation
Stop paying for compute your users already own. Compare the annual cost of running 10M inferences/month.
OpenAI API
$219000
Network latency + Privacy risks
AWS SageMaker
$146000
Ops overhead + Server maintenance
EdgeInfer
$0
Zero latency + Total privacy
Intelligent Backend Detection
WebGPU
Primary target. Utilizes the full power of the client GPU for massively parallel matrix operations.
WASM SIMD
Automatic fallback for older devices. Uses WebAssembly with 128-bit vector instructions.
WASM Standard
Bulletproof fallback ensuring your ML features work on 100% of modern web browsers.
Universal Model Support
Native support for ONNX runtime and quantized GGUF formats.
BERT Base
MobileNet V3
Phi-3 Mini
Gemma 2B
Whisper Tiny
YOLOv8
ResNet50
StableLM
Developer Playground
load.js
infer.js
import { Pipeline } from '@edgeinfer/core';
// 1. Initialize the pipeline (Auto-detects WebGPU)
const classifier = await Pipeline.load('sentiment-analysis', {
model: 'Xenova/distilbert-base-uncased-finetuned-sst-2-english',
quantized: true,
cache: true
});
// 2. Run zero-cost inference
const result = await classifier("EdgeInfer is absolutely incredible!");
console.log(result); // { label: 'POSITIVE', score: 0.9998 }Frequently Asked Questions
What is the best free alternative to OpenAI? +
EdgeInfer is considered the best free alternative to OpenAI for developers building client-side applications. By shifting the compute to the user's device via WebGPU, you eliminate API costs entirely while maintaining strict data privacy.
Does it work on mobile browsers? +
Yes. EdgeInfer automatically detects device capabilities. It uses WebGPU where available (like recent Android devices) and seamlessly falls back to optimized WASM for older iOS/Android browsers.
How large are the model downloads? +
We utilize highly quantized 4-bit and 8-bit ONNX models. Many vision and text models are under 25MB, and they are heavily cached in the browser's IndexedDB after the first load.
Why choose on-device AI? While cloud APIs like OpenAI, Anthropic, and Google Gemini offer massive frontier models, 90% of daily ML tasks (classification, sentiment, basic embedding, translation) can be handled by small language models (SLMs). EdgeInfer provides the infrastructure to run these SLMs efficiently within the browser sandbox, making it the premier choice for cost-conscious scaling.
Commercial Licenses
Licensed under BSL 1.1 for non-commercial. Choose a commercial tier below.
Indie
$499/yr
- Up to $100k revenue
- Standard WebGPU backend
- Community Support
Startup
$3,999/yr
- Up to $2M revenue
- Advanced Model Quantizer
- Email Support
Enterprise
$19,999/yr
- Unlimited revenue
- Custom model porting
- 24/7 Slack Support
- Source Code Access