Sipp provides a blazing-fast open-source AI inference runtime engineered in Rust and C++ that runs GGUF models on WebGPU in the browser or natively. It minimizes data copies for real-time applications like games and local agents. The same API seamlessly extends to self-hosted gateways or trusted cloud providers, with support for CUDA, Vulkan, and Metal.
In the AI & ML space, Sipp takes a focused approach. It focuses on running fast, on-device AI inference across browsers, desktops, and self-hosted environments with a single consistent API. Sipp is an open-source project aimed at developers. The project is open source (Apache-2.0). It runs on the web and the command line, and it can be self-hosted.
It is developed by Noumena Labs, and the product first shipped in 2026. The project is developed in the open on GitHub with 91 stars and 246 commits in the last 90 days. Among its 6 catalogued features are webGPU runtime, GGUF inference, and self-host gateway. It exposes integrations via a public API.
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