Runtime · Emerging · Advanced
WebGPU for AI
A browser API that exposes GPU compute, allowing models to run client-side without a server.
What WebGPU for AI is
WebGPU makes it possible to run small models entirely in the browser, keeping data on the user's machine and removing inference cost.
How it works
Model weights are downloaded and cached, then executed through browser GPU compute shaders via libraries that handle quantised weights and kernels.
Why it matters
It enables private, offline-capable AI features in web applications, bounded by download size and device capability.
Common uses
- →In-browser transcription and translation
- →Private document analysis
- →Offline demos
Strengths
- ✓No server cost
- ✓Data never leaves the device
Watch for
- ✓Large initial download
- ✓Limited to small models
- ✓Uneven device support
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