Aydar's AI Hardware Co.
We help startups understand what it takes to run large open-source AI models and recommend hardware that can honestly do the job.
Small Startups
You want to run one large open-source model as affordably as it can honestly be run — no wasted spend, just enough hardware to get the job done.
Mid-Size Companies
You expect more users and more traffic, and you need real capacity, reliability, and room to grow into a proper datacenter setup.
What is a large language model, really?
It's a huge file of numbers ("parameters") that has to be loaded entirely into GPU memory before it can answer a single question. Bigger models need more memory — that's the whole story behind most of the hardware decisions on this site.
Why does this need special hardware?
Regular computer memory (RAM) is too slow for this. GPUs have their own fast memory built for exactly this kind of math, which is why GPU memory — not RAM — is the number that matters most.
Not sure where to start?
Click "Help Me Choose" above. We'll ask a few plain-language questions and hand you back one clear, priced recommendation.