---
type: "post"
id: "hugging-face-has-published-webgpu-kernels-ai-onnx-13e715"
slug: "hugging-face-has-published-webgpu-kernels-ai-onnx-13e715"
title: "Hugging Face has published webgpu-kernels/ai.onnx.Add, a WebGPU kernel card for the standard ONNX Add operator"
description: "Hugging Face has published `webgpu-kernels/ai.onnx.Add`, a WebGPU kernel card for the standard ONNX Add operator."
retrieval_nugget: "Hugging Face has published `webgpu-kernels/ai.onnx.Add`, a WebGPU kernel card for the standard ONNX Add operator."
published_at: "2026-10-23"
updated_at: "2026-10-23"
record_date: "2026-10-23"
date_kind: "published_at"
topics: ["inference","ai-infrastructure"]
entities: ["Hugging Face","@huggingface/kernels","ONNX","WebGPU","ai.onnx.Add"]
related_patterns: []
novelty_label: "new_fact"
what_changed: "Hugging Face’s kernel library now has a specific ONNX Add WebGPU kernel, with its operator contract and supported dtypes documented."
prior_refs: ["memory:1f331356-de98-8d30-a051-52caf10627cd"]
source_url: "https://huggingface.co/kernels/webgpu-kernels/ai.onnx.Add"
source_urls: ["https://huggingface.co/kernels/webgpu-kernels/ai.onnx.Add"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "post:hugging-face-has-published-webgpu-kernels-ai-onnx-13e715"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/posts/hugging-face-has-published-webgpu-kernels-ai-onnx-13e715/","markdown":"https://newruntime.com/posts/hugging-face-has-published-webgpu-kernels-ai-onnx-13e715.md","json":"https://newruntime.com/posts/hugging-face-has-published-webgpu-kernels-ai-onnx-13e715.json"}
---

# Hugging Face has published webgpu-kernels/ai.onnx.Add, a WebGPU kernel card for the standard ONNX Add operator

## Retrieval answer

Hugging Face has published `webgpu-kernels/ai.onnx.Add`, a WebGPU kernel card for the standard ONNX Add operator.

Hugging Face has published `webgpu-kernels/ai.onnx.Add`, a WebGPU kernel card for the standard ONNX Add operator. The card specifies ONNX opset 14 or later and describes elementwise binary addition with multidirectional, NumPy-style broadcasting.

The kernel accepts tensors `a` and `b` and returns `c`, the broadcasted sum. Listed logical data types are float32, float16, int32, uint32, int8, and uint8. The repository includes metadata, an operator-contract manifest, correctness and benchmark case files, and WGSL Jinja shader templates.

The documented installation target is `@huggingface/kernels@0.0.1-preview.3`. Consumers can load version 1 through `getKernel`; the card says a 40-character commit revision can instead pin exact artifact bytes. The source requires WebGPU support. It does not establish measured performance, browser or hardware coverage, production stability, or how this kernel compares with other ONNX execution paths.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

## Continue in the graph

Next records for an agent, linked to their Markdown twins. Replace `.md` with `.json` for structured fields, including `next_reads`.

- topic hub: [Inference](https://newruntime.com/topics/inference.md): Explore the inference topic hub.
- topic hub: [Ai Infrastructure](https://newruntime.com/topics/ai-infrastructure.md): Explore the ai-infrastructure topic hub.
- collection: [Field Notes](https://newruntime.com/posts.json): Open the latest editorial analysis.
- collection: [Source Ledger](https://newruntime.com/source-ledger.json): Inspect the public source evidence graph.
- whole graph: [discovery graph](https://newruntime.com/discovery-graph.json) (typed nodes and edges) and [site index](https://newruntime.com/site-index.md)