Cheapest Practical Way to Run a 70B Model Locally in 2026

Cheapest Practical: 2× Used RTX 3090

Two used RTX 3090 cards (24GB VRAM each) combine to roughly 48GB of usable VRAM with llama.cpp tensor-parallel splitting — enough to fully offload a 70B Q4_K_M model with no CPU fallback. You'll need a motherboard with dual x16 PCIe slots and a 1000W+ PSU.

Used RTX 3090 pricing varies enormously by condition, cooling, and seller — check current listings rather than trusting a fixed number. Buy from a seller with clear photos of the card and, ideally, a mining/gaming-load disclosure. See whether buying beats renting the same card before you commit to two of them.

Buy it if: you enjoy building PCs and want the best inference speed per dollar. Skip it if: you want a quiet, simple, single-box machine — see the Mac option below instead.

70B Hardware Comparison

All options below fit a 70B Q4_K_M model (~42GB) at usable quality. Check current prices for each before deciding — used GPU and RAM pricing moves often.

Easiest: 64GB+ Apple Silicon Mac

If you don't want to build a dual-GPU PC, Apple Silicon is much simpler: the model lives directly in unified memory, so there's no splitting a model between system RAM and VRAM and no multi-GPU driver setup. 64GB unified memory is the target to run 70B Q4 comfortably without offloading layers to disk.

Apple's August 25, 2026 hardware refresh also updated the Mac mini alongside the Mac Studio. The base M6 Mac mini starts at $899 but tops out at 32GB unified memory — not enough to run a 70B Q4 model, so skip it for this use case. The M5 Pro Mac mini starts at $1,699 with up to 64GB unified memory, which does hit the 64GB target — the cheapest new Apple Silicon machine that can run a 70B model. Both ship September 22, 2026; check the current price before buying since new-hardware pricing can shift.

Apple refreshed the Mac Studio line to M5 Max/M5 Ultra in the same August 2026 announcement, starting at $2,499 and configurable up to 128GB unified memory — check the current price for a 64GB configuration rather than relying on an old figure. A MacBook Pro with 64GB+ unified memory is the portable equivalent, at a price premium over the desktop.

If you're starting from zero — no existing PC to add GPUs to — the $1,699 M5 Pro Mac mini is often cheaper all-in than building a dual-RTX-3090 machine from scratch once you count a motherboard, PSU, and case, not just the two GPUs. If you already own a capable PC, adding two used RTX 3090s is likely still the cheaper and faster route.

Buy it if: you value simplicity, low power draw, and quiet operation over raw speed. Skip it if: you want the fastest possible tokens/second per dollar — the dual-3090 build wins on that metric.

Cheapest Absolute Hardware: CPU + 64–128GB RAM

Technically, you don't need a GPU at all — a 70B Q4_K_M model can run entirely in system RAM. Expect roughly 1–3 tokens/second, which is usable for batch tasks or testing but frustrating for an interactive chat.

Don't buy a 128GB CPU-only machine specifically for interactive 70B chat unless raw cost genuinely matters more to you than speed — the dual-3090 or Mac routes above cost more but are dramatically more usable day to day.

One Alternative: Rent Instead of Buy

If you only need a 70B model occasionally, don't buy hardware at all. Cloud GPU rental is often dramatically cheaper for occasional use than a $1,500–3,000 hardware purchase — RunPod's Community Cloud A40 48GB (the smallest GPU that fits 70B Q4 in full) runs around $0.44/hour as of this check, and hosted-inference APIs serving Llama 3.3 70B exist at a per-token rate with no hardware at all.

This is worth naming plainly rather than glossing over, since a page that only ever recommends buying reads as trying to sell hardware to everyone — for occasional or bursty use, renting is the honest answer.

Quantization for 70B

For a 70B model, Q4_K_M is the standard balance of size and quality. The quality percentages below are approximate — actual quality loss depends on the specific model and how it's evaluated, not a universal constant.

Don't Buy a Single 24GB GPU Expecting Full 70B Speed

• ▸A single 24GB card (RTX 3090 or 4090) cannot hold a full 70B Q4 model — it can run one with CPU offloading, but speed drops to roughly 8–12 tok/s.
• ▸24GB GPU alone → partial offload, slower
• ▸48GB combined VRAM (2× 24GB) → full 70B Q4 offload
• ▸64GB+ unified memory (Mac) → comfortable, no offloading needed
• ▸Base M6 Mac mini (32GB max) → also cannot run a full 70B model, same category as a single 24GB GPU

Related Guides

• ▸RTX 3090 for Local LLMs: Buy Used or Rent? — the buy-vs-rent break-even math for the card this page recommends
• ▸How Much VRAM Does a 70B Model Need? — how much VRAM for a 70B model
• ▸DeepSeek-R1 Distill VRAM Cheatsheet — DeepSeek-R1 distill VRAM cheatsheet
• ▸Best DeepSeek Distill for Your GPU — best DeepSeek distill for your GPU
• ▸Cloud GPU Cost Per Hour 2026 — cloud GPU cost per hour