NVIDIA hardware · plain words · real numbers

OLEKSII COMPUTE

Everyone wants to run the big open AI models. The hardware is expensive, confusing, and sold with spec sheets most people can’t read. This store fixes that: pick a model, and we tell you exactly what to buy, what it costs, and what it does to your power bill — in numbers a human can feel.

Help me choose → See the models Memory calculator

How buying AI hardware actually works

1. Pick the model

Open models are free to download — the cost is the machine. A model’s size is its parameter count: 235B means 235 billion.

Parameter count is the model’s size — the “B” means billions. Bigger usually means smarter but hungrier: every billion parameters needs about 1 GB of GPU memory.

2. Do the memory math

One rule decides everything: parameters × 1 GB + 20% working room = the GPU memory you must buy. Everything else is negotiable; this is not.

GPU memory (VRAM) is the workspace on the card itself. A model must fit here ENTIRELY to run — if it doesn’t fit, it doesn’t run slower, it doesn’t run at all. This is the number that decides what you can buy.

3. Feel the power bill

Big AI hardware drinks electricity. We translate every watt into homes and car batteries, so you know what you’re signing up for before the electrician does.

Watts are the electricity the hardware pulls every second it runs. You pay for this forever — it sets your power bill and your cooling needs. 1,000 W running 24/7 ≈ 24 kWh/day.

The range

From a $2,399 desktop card to a $6,500,000 datacenter rack — five real products, every number explained. Browse the hardware →