Enter your GPU, RAM, and model target. The RunLocalAI Will-It-Run Framework shows what fits, how fast it should feel, when the number is measured, and what to upgrade next. Honest verdicts, auditable methodology, confidence labels on every benchmark.
Pick your hardware + a model, get a verdict in seconds.
Check fit →Every hardware unit ranked by RunLocalAI Score (0–1000).
See leaderboard →Tell us budget + OS + workload, get a GPU recommendation.
Get recommendation →Use case + budget + scale → GPU + runtime + models + install script. Three tiers side-by-side.
Open stack builder →Paste a prompt or code. See exactly what 11 cloud providers would charge vs your local rig. Break-even in months.
Open cost calculator →Q4_K_M vs Q5_K_M vs Q8 settled with math, not folklore. Quality curve + VRAM fit visualization.
Open quant advisor →Watch tokens stream at your hardware's actual speed, side-by-side with Claude / GPT-5 / Groq. Race mode.
Open stream visualizer →Paste a Claude Code .jsonl. See per-tool breakdown, cache savings, insights. Privacy-first.
Open decoder →Pick 2 models. Get a 10-row diff: params, context, license, TPS, fit, popularity. Use-case-weighted better-fit verdict.
Open battle card →Drag a tokens/day slider, watch the cloud vs local cost lines extend over your horizon. Crossover point drawn. One screenshot.
Open compounder →37 curated apps that plug into your local runtime: chat UIs, coding agents, RAG, voice, image, browser, mobile, editor plugins. Filter by VRAM + privacy.
Open apps directory →Every verdict has a named author and a real opinion. We say what to skip as much as what to buy. Some links are affiliate; the opinion comes first.
Benchmarks run with documented commands and open-weight models. Confidence tiers — measured / reproduced / inferred — visible on every result. /trust →
Privacy + cost + control beat cloud APIs for most everyday work. We'll tell you when local is the wrong answer too — /explained →