Live catalog · verified specs · real open-source models
Find the right NVIDIA hardware to run open-source AI — explained for beginners.
Natalie's AI Hardware Co. matches real, currently-shipping NVIDIA GPUs and AI servers to real open-source large language models, and shows you exactly why — in plain English, with the math shown.
12
Real NVIDIA products
5
Verified open models
4
Hardware tiers
0
Logins required
How it works
From "which model?" to "what do I buy?" in four steps.
No hardware background needed — every number on this site is explained the moment you hover or tap it.
- Pick an open-source AI model from our catalog — each one is a real model with a verified permissive license and public parameter count.
- We calculate how much GPU memory it needs using a simple, transparent formula: parameters (in billions) × 1 GB, plus 20% overhead.
- We match that requirement to real hardware — the cheapest setup that actually fits, or a scalable production setup if you're planning for real customer traffic.
- You see the full picture: total cost, total power draw translated into homes and EV batteries, and — if you need multiple machines — a plain-English explanation of what a "cluster" actually is.
Explore
Three ways into the platform
Hardware Catalog
Consumer, workstation, enterprise GPUs, and full AI server systems — every spec explained in plain English.
Open-Source AI Models
5 real, large open-source models with verified MIT/Apache-2.0 licenses and step-by-step memory math.
Get a Recommendation
Tell us your model and scale, we'll build the hardware configuration and let you request a quote.
Why this matters
Choosing AI hardware isn't just "buy the biggest GPU." Memory, power, and cost scale
together — a model that needs 800GB of memory can't run on a card with 32GB, no matter
how fast that card is. This platform exists to make that relationship visible before you spend money.