You’ve got a $2,000 budget for an LLM GPU. That budget bought a flagship card in early 2026. It no longer does — the GDDR7 shortage pushed the RTX 5090 to roughly $4,900 and the RTX 4090 to roughly $2,200, both past this ceiling. What $2,000 still buys is more VRAM than either of them, on the used market.
Quick answer: Two used RTX 3090s (48GB combined, ~$1,640) are the best LLM setup under $2,000 in 2026. That 48GB runs 70B at Q4_K_M — better quality than a single 32GB card manages at Q3 — and it is the only configuration in this budget that reaches 70B usefully. If you want one card, a single used RTX 3090 (24GB, ~$820) handles 34B at Q4.
NVIDIA GeForce RTX 3090
24GB GDDR6X24GB of GDDR6X at roughly $820 used — buy two for 48GB combined and 70B at Q4_K_M, still under $1,700.
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Who this is for
You’re serious about local LLM inference and willing to invest in flagship hardware. You want to run 34B models comfortably and push into 70B territory on a single card.
Flagship GPU comparison
| GPU | VRAM | 34B Q4 speed | 70B capability | Price |
|---|---|---|---|---|
| 2x RTX 3090 (used) | 48GB combined | ~20 tok/s | Q4_K_M (good) | ~$1,640 |
| RTX 3090 (used) | 24GB | ~18 tok/s | Q2_K only (poor) | ~$820 |
| RTX 5080 | 16GB | offloads | no | ~$1,400 |
| RTX 5070 Ti | 16GB | offloads | no | ~$1,050 |
| RTX 4090 — over budget | 24GB | ~25 tok/s | Q2_K only (poor) | ~$2,200 |
| RTX 5090 — over budget | 32GB | ~35 tok/s | Q3_K_M (usable) | ~$4,900 |
Note what the 16GB cards do to this table. The RTX 5080 and 5070 Ti are faster per-core than a 3090, but 16GB cannot hold a 34B model at Q4 — layers spill to system RAM and throughput collapses. For LLM work at this budget, VRAM capacity decides the outcome before clock speed gets a vote. Two used RTX 3090s give you 48GB combined for 70B at good quality; the cost is a multi-GPU setup and a bigger PSU.
Which GPU should you buy?
- Want to run 70B at usable quality? → 2x used RTX 3090 (~$1,640). 48GB combined is the only route to Q4_K_M in this budget. See 70B models.
- Want the simplest single-card setup? → one used RTX 3090 (~$820). 24GB handles 34B at Q4 and leaves most of the budget for the rest of the build.
- Want a new card with a warranty? → RTX 5080 (~$1,400). You accept 16GB, which means 34B offloads. Shopping lower? See our best GPU for LLM under $1500 guide.
- Mostly running 13B models? → a single 3090 is already more than enough; 16GB new cards are fine here too.
Common mistakes to avoid
- Buying a 16GB card for 34B+ work. The RTX 5080 benchmarks well and still cannot hold a 34B model at Q4. Capacity beats clocks for local inference.
- Ignoring the dual-3090 option. For 70B inference, two 3090s at ~$1,640 total beat a single 32GB card on quality (Q4_K_M vs Q3), and cost a third of a 5090 today.
- Waiting for the 5090 to come back to its $1,999 MSRP. It launched there and now sells near $4,900. GDDR7 supply is going to AI accelerators and no end date has been announced.
- Forgetting total system cost. Two 3090s draw up to 350W each. Budget for a 1000W+ PSU and airflow that can handle two triple-slot cards.
Final verdict
| Need | Best pick | Price |
|---|---|---|
| Best for 70B | 2x RTX 3090 (used) | ~$1,640 |
| Best single card | RTX 3090 (used) | ~$820 |
| New card, warranty | RTX 5080 | ~$1,400 |
NVIDIA GeForce RTX 5080
16GB GDDR716GB GDDR7 at roughly $1,400 — the in-budget choice if you want retail support and stay at 13B-class models.
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A $2,000 budget bought the fastest consumer LLM card in early 2026. By September it buys 48GB of used VRAM instead — and for local inference, that trade favours you.