Local AI fit library

Choose the local software, model, and hardware path that fits.

Make AI Fit is a compact public library for matching local AI software, model choices, and practical hardware constraints before you spend time or money.

6 model sizes · 22 devices Software starting points Model-size planning Hardware fit by memory

Start here

Pick the surface that matches your question.

Model fit Find model sizes by task and VRAM. 6 model-size rows across 3 families, with task filters and memory bands. Browse models Hardware fit Compare devices by segment, memory, and practical role. 22 devices across 6 public segments, with vendor and memory shortcuts. Browse hardware Software path Start with an app or runtime that fits the job. 6 source-linked software starting points for desktop chat, local APIs, private docs, and browser UIs. Browse software Plain terms Decode the local AI terms that affect decisions. 11 glossary terms for VRAM, GGUF, context windows, quantization, RAG, and local-first choices. Open glossary

Decision library

Explore practical starting points.

Evidence policy

Models

Task, VRAM, context, family, and size rows for local model planning.

6 sizes 3 families

Hardware

Device classes, memory tiers, vendors, chips, GPUs, and fit notes.

22 devices 6 segments

Software

Source-linked starting points for desktop chat, local APIs, private docs, and self-hosted browser UIs.

6 starting points App and runtime paths

Glossary

Short explanations for the terms that change model and hardware choices.

11 terms A-Z utility

Methodology

How the site treats source strength, estimates, uncertainty, and update risk.

Evidence policy Trust layer