I priced out every way to run a 70B AI model at home — the cheapest one isn't what you'd guess

Four real paths to running a 70B-parameter model on your own hardware or by the hour — priced out with actual 2026 numbers. Aliteq Lena Fischer · AI & Local Compute Editor

A 70B model at Q4 quantization needs about 40-42GB of memory — no single mainstream consumer GPU has that much VRAM on its own.

Two used RTX 3090s (24GB each, ~$800-1,100 used per card) get you 48GB of dedicated VRAM for roughly $2,000-2,800 including a compatible platform — the cheapest one-time-cost path.

Renting a single 80GB A100 costs about $1.39-1.49/hour on RunPod — zero upfront cost, and the cheapest way to just try running a 70B model today.

The dual-3090 rig only pays for itself against rental after roughly 1,500-1,800 hours of use — about four to five months of heavy daily use.

A Mac Studio with 64GB or more of unified memory can run the same model, but after Apple's June 2026 price hike it's the most expensive of the four paths.

If you're going to run a 70B model regularly — daily, for real work — buy the dual-3090 rig. It's the cheapest path that you own outright, and at roughly $2,000-2,800 it pays for itself against A100…

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