Local AI

Assess

Techniques

An approach to running AI models directly on local devices rather than in the cloud.

Why it's here

Placed in Assess: 1 article(s) of evidence from 1 source(s), led by open-source activity, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.

Evidence (1)

7Hugging Face Blog·2/20/2026open_source
GGML and llama.cpp join Hugging Face to support long-term local AI development
Hugging Face announced that GGML and llama.cpp are joining the company to help advance its Local AI efforts. The move is aimed at strengthening long-term support for running and optimizing AI models locally on devices and edge hardware. It signals continued investment in open, on-device AI tooling and ecosystem stability.