From: Reese Levine <redacted>
Date: Thu, 21 May 2026 18:00:27 +0000 (-0700)
Subject: Update WebGPU support and add link to blog/demo (#23483)
X-Git-Tag: upstream/0.0.10438~1158
X-Git-Url: https://git.djapps.eu/?a=commitdiff_plain;h=ee7c30578a3bf3d8244cefe83b3f44c15df7768c;p=pkg%2Fggml%2Fsources%2Fllama.cpp

Update WebGPU support and add link to blog/demo (#23483)
---

diff --git a/README.md b/README.md
index 71327e514..dbe2c363a 100644
--- a/README.md
+++ b/README.md
@@ -27,6 +27,7 @@ LLM inference in C/C++
 - Vim/Neovim plugin for FIM completions: https://github.com/ggml-org/llama.vim
 - Hugging Face Inference Endpoints now support GGUF out of the box! https://github.com/ggml-org/llama.cpp/discussions/9669
 - Hugging Face GGUF editor: [discussion](https://github.com/ggml-org/llama.cpp/discussions/9268) | [tool](https://huggingface.co/spaces/CISCai/gguf-editor)
+- WebGPU support is now available in the browser, see a blog/demo introducing it [here](https://reeselevine.github.io/llamas-on-the-web/).
 
 ----
 
@@ -290,7 +291,7 @@ Instructions for adding support for new models: [HOWTO-add-model.md](docs/develo
 | [CANN](docs/build.md#cann) | Ascend NPU |
 | [OpenCL](docs/backend/OPENCL.md) | Adreno GPU |
 | [IBM zDNN](docs/backend/zDNN.md) | IBM Z & LinuxONE |
-| [WebGPU [In Progress]](docs/build.md#webgpu) | All |
+| [WebGPU](docs/build.md#webgpu) | All |
 | [RPC](https://github.com/ggml-org/llama.cpp/tree/master/tools/rpc) | All |
 | [Hexagon [In Progress]](docs/backend/snapdragon/README.md) | Snapdragon |
 | [VirtGPU](docs/backend/VirtGPU.md) | VirtGPU APIR |
diff --git a/docs/build.md b/docs/build.md
index a18479b33..7beafbf5f 100644
--- a/docs/build.md
+++ b/docs/build.md
@@ -735,7 +735,7 @@ ninja
 
 To read documentation for how to build on Android, [click here](./android.md)
 
-## WebGPU [In Progress]
+## WebGPU
 
 The WebGPU backend relies on [Dawn](https://dawn.googlesource.com/dawn). Follow the instructions [here](https://dawn.googlesource.com/dawn/+/refs/heads/main/docs/quickstart-cmake.md) to install Dawn locally so that llama.cpp can find it using CMake. The current implementation is up-to-date with Dawn commit `18eb229`.