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WebGPU.ai
SOTA AI. Native Performance.
Zero Infrastructure.
Run full LLMs, diffusion models, and speech recognition entirely in your browser. 100% private, zero-latency, powered by the web.
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WebGPU Compute Engine
Direct access to GPU hardware via WGSL and WASM. No Python dependencies or system drivers required.
Enterprise-Grade AI Capabilities
A comprehensive toolkit for deploying high-performance machine learning models directly to user devices with zero server cost.
LLM Inference
Run large language models like Llama, Mistral, and Phi directly in your browser with WebGPU acceleration.
Near-Native Speed
WebGPU unlocks GPU-level compute shaders, achieving performance close to native CUDA/Metal — right from a tab.
100% Private
Your data never leaves your machine. No server calls, no logging — full local execution means total privacy.
Zero Install
No Python envs, no CUDA drivers, no Docker. Just open your browser and start running SOTA models instantly.
Multi-Framework
Supports ONNX Runtime Web, PyTorch via Emscripten, TensorFlow.js, and custom WGSL compute pipelines.
Cross-Platform
Works on Chrome, Edge, and Firefox. Run the same AI pipeline on Windows, macOS, Linux — even ChromeOS.
Measured Performance
Real-world benchmarks on consumer hardware (M1/M2 chips). No cloud latency — pure local compute.
Start Building the Future
The most advanced AI developer environment, right in your browser. Join thousands of developers building privacy-first AI.