AI Stack Builder
Goal + budget in, complete stack out: hardware, model, quant, runtime and software that actually work together — every verdict computed by the same engine as the feasibility checker, tiers not numbers.
How we rank
Within your budget we prefer: the most ambitious model pick your goal's template names that the hardware runs cleanly (fits with headroom, no CPU offload) → the better speed tier → the lower price. That's the whole rule. We don't rank on benchmark scores we haven't verified, and a stretch pick above your budget is always labeled as such.
FAQ
- How are stacks ranked?
- Deterministically, in three steps: within your budget we prefer hardware that cleanly runs the most ambitious model pick for your goal (fits with headroom, no CPU offload), then the better speed tier, then the lower price. No benchmark scores are involved because we don't have verified ones — we won't rank on numbers we can't stand behind.
- Where do the prices come from?
- Every price is a seeded reference price — GPU MSRP or a prebuilt's base configuration price — with a source URL and an as-of date in our dataset. Street prices move; treat ours as the honest anchor, not a live quote. For discrete GPUs the price is the card only and assumes you already own a PC.
- Why can the answer be 'nothing at this budget'?
- Because sometimes it's true. If no priced hardware in our dataset runs your goal's entry model cleanly at your budget, we say so and tell you the real entry price, rather than recommending something that will disappoint you.
- What do the model, runtime and software picks come from?
- Our curated workflow templates. Each goal maps to a template that names the software tools, the runtime, and two or three model picks — the builder's job is only to find the hardware and the quant that make that template actually run at your budget.