Can I run Llama 3.3 70B?
It is a dense model: all 70 billion parameters work on every token, so it has to fit in the card's memory to run at a usable speed. At Q4 the file is about 42 GB. Below is every graphics card we track, whether Llama 3.3 70B runs on it with 32 GB of DDR4-3200 system RAM, and how fast — with a label on every number saying whether we measured it or computed it.
⭐ What it is good at, from our own use: high quality
On every card, with 32 GB of DDR4-3200 system RAM
| card | runs? | speed | how we know |
|---|---|---|---|
| No graphics card (CPU only) | does not fit | — | The file is ~42.0 GB and you have 32 GB of RAM. |
| GTX 1050 Ti | does not fit | — | The file is ~42.0 GB, and card plus RAM together do not hold it. |
| GTX 970 | does not fit | — | The file is ~42.0 GB, and card plus RAM together do not hold it. |
| GTX 1060 6GB | does not fit | — | The file is ~42.0 GB, and card plus RAM together do not hold it. |
| GTX 980 Ti | does not fit | — | The file is ~42.0 GB, and card plus RAM together do not hold it. |
| RTX 2060 | does not fit | — | The file is ~42.0 GB, and card plus RAM together do not hold it. |
| GTX 1660 Super | does not fit | — | The file is ~42.0 GB, and card plus RAM together do not hold it. |
| RTX 3060 Laptop 6GB | does not fit | — | The file is ~42.0 GB, and card plus RAM together do not hold it. |
| RTX 3050 8GB | does not fit | — | The file is ~42.0 GB, and card plus RAM together do not hold it. |
| GTX 1070 | does not fit | — | The file is ~42.0 GB, and card plus RAM together do not hold it. |
| RTX 4060 | does not fit | — | The file is ~42.0 GB, and card plus RAM together do not hold it. |
| RTX 4060 Laptop 8GB | does not fit | — | The file is ~42.0 GB, and card plus RAM together do not hold it. |
| GTX 1080 | does not fit | — | The file is ~42.0 GB, and card plus RAM together do not hold it. |
| RTX 2070 | does not fit | — | The file is ~42.0 GB, and card plus RAM together do not hold it. |
| RTX 2060 Super | does not fit | — | The file is ~42.0 GB, and card plus RAM together do not hold it. |
| RTX 3070 | does not fit | — | The file is ~42.0 GB, and card plus RAM together do not hold it. |
| RTX 3080 10GB | does not fit | — | The file is ~42.0 GB, and card plus RAM together do not hold it. |
| GTX 1080 Ti | does not fit | — | The file is ~42.0 GB, and card plus RAM together do not hold it. |
| RTX 2080 Ti | does not fit | — | The file is ~42.0 GB, and card plus RAM together do not hold it. |
| RTX 3060 12GB | slow but works | under 1 tok/s | ESTIMATED from memory bandwidth |
| RTX 4070 | slow but works | under 1 tok/s | ESTIMATED from memory bandwidth |
| RTX 5070 12GB | slow but works | under 1 tok/s | ESTIMATED from memory bandwidth |
| Tesla T4 16GB (server) | slow but works | under 1 tok/s | ESTIMATED from memory bandwidth |
| RTX 4080 16GB | slow but works | under 1 tok/s | ESTIMATED from memory bandwidth |
| RTX 5080 16GB | slow but works | under 1 tok/s | ESTIMATED from memory bandwidth |
| Tesla M40 24GB (server card, very cheap) | slow but works | under 1 tok/s | ESTIMATED from memory bandwidth |
| L4 24GB (server) | slow but works | under 1 tok/s | ESTIMATED from memory bandwidth |
| Tesla P40 24GB (server card, cheap) | slow but works | under 1 tok/s | ESTIMATED from memory bandwidth |
| RTX 3090 | slow but works | 0–1 tok/s | ESTIMATED from memory bandwidth |
| RTX 4090 | slow but works | 0–1 tok/s | ESTIMATED from memory bandwidth |
| Tesla V100 32GB (server) | slow but works | about 1 tok/s | ESTIMATED from memory bandwidth |
| RTX 5090 32GB | slow but works | about 1 tok/s | ESTIMATED from memory bandwidth |
| A100 40GB (server) | slow but works | about 2 tok/s | ESTIMATED from memory bandwidth |
| L40S 48GB (server) | runs | 14–18 tok/s | ESTIMATED from memory bandwidth |
| A100 80GB PCIe (server) | runs | 32–41 tok/s | ESTIMATED from memory bandwidth |
| A100 80GB SXM (server) | runs | 34–43 tok/s | ESTIMATED from memory bandwidth |
| H100 80GB SXM (server) | runs | 56–70 tok/s | ESTIMATED from memory bandwidth |
| H100 NVL 94GB (server) | runs | 65–82 tok/s | ESTIMATED from memory bandwidth |
| H200 141GB (server) | runs | 80–101 tok/s | ESTIMATED from memory bandwidth |
Questions people actually ask
Can I run Llama 3.3 70B on my computer?
With 32 GB of system RAM it runs on 20 of the 39 graphics cards we track. The table below says which, how fast, and for the ones where it does not fit, why not. Every speed carries a label saying whether we measured it or computed it.
What is the smallest graphics card that runs Llama 3.3 70B?
The card with the least VRAM on our list that still runs it is the RTX 3060 12GB (12 GB). Past that, for a model like this one, system RAM decides as much as the card does.
Does it need 16 GB or 32 GB of RAM?
With 16 GB of system RAM it runs on 9 cards; with 32 GB, on 20. The difference is what the extra RAM buys you for this model.
Where do these numbers come from?
From the same calculation our API answers with (`what_can_i_run` on our MCP endpoint), and a guard proves it says the same thing as the JavaScript on our calculator page. Rows labelled MEASURED ran on our own machines, with the machine and date written beside them; everything else says ESTIMATED and is given as a range.
Want it for your exact machine, with your memory speed and quantisation?
Ask the calculator, or call what_can_i_run on our
MCP endpoint — it is the same calculation.
Other models
- Qwen3.6 35B-A3B 35B
- Qwen3 Coder 30B-A3B 30B
- Qwen 27B (dense) 27B
- Gemma 3 27B 27B
- Mistral Small 24B 24B
- GPT-OSS 20B 20B
- Phi-4 14B 14B
- Qwen 14B 14B
- Gemma 3 12B 12B
- Llama 3 8B 8B
- Mistral 7B 7B
- Qwen 4B (small brain) 4B
- Qwen 1.7B 1B