#Webgpu

Using Facet's run-time reflection to check the layout of structs against their definitions in WebGPU shaders

High-performance In-browser LLM Inference Engine . Contribute to mlc-ai/web-llm development by creating an account on GitHub.

A step-by-step tutorial showing how to build seamless GPU-powered page transitions by combining a persistent WebGPU scene, DOM tracking, and a lightweight vanilla JavaScript router.

Video processing on the CPU is the naive path. It works for small demos, short clips, and a couple of...

From Dev RSS Feed: Private & Powerful: Parsing Sensitive Medical Records Locally with WebLLM and WebGPU

So my dad needed to transcribe an interview. Simple enough right? Except he refused to upload his...

WebGPU was detected, the consent dialog appeared, the user granted consent, and the network tab...

Born ML Framework migrates to gogpu/wgpu — pure Go WebGPU, zero CGO, zero shared libraries. True single binary ML with GPU. Plus: DeepSeek V4 roadmap.

Born ML Framework migrates to gogpu/wgpu — pure Go WebGPU, zero CGO, zero shared libraries. True single binary ML with GPU. Plus: DeepSeek V4 roadmap.

Explore WebGPU AI for high-performance machine learning directly in the browser. Learn its advantages, implementation, and how it enables privacy-first, on-devi