Hugging Face 宣布推出适用于本地 AI 的 WebGPU 内核
Hugging Face 引入了 200 多个 WebGPU 内核,以加速网络浏览器中的本地 AI 推理,旨在提高速度和用户友好性。
Hugging Face 引入了 200 多个 WebGPU 内核,以加速网络浏览器中的本地 AI 推理,旨在提高速度和用户友好性。
TL;DR Why start with kernels? A kernel repository, not just a shader Loading a kernel from the Hub How fast are the kernels? From one device to a fleet Building a shared foundation for WebAI One of our biggest goals on the WebAI team at Hugging Face is to make browser inference…
Today, we are releasing the first layer of that effort: @huggingface/kernels , a minimal library for loading and running optimized WebGPU kernels from the Hugging Face Hub, together with an initial collection of 207 kernels at huggingface.co/webgpu-kernels .