Can the NVIDIA RTX 4090 run Qwen3 32B?
Yes
QuantQ4_K_MGood, most popular
Memory22.6 GBof 24 GB
Speed~30tokens/s
Yes. The NVIDIA RTX 4090 can run Qwen3 32B fully in VRAM at Q4_K_M (good, most popular), using about 22.6 GB of the 24 GB available, at roughly 30 tokens/second.
Try other context lengths in the calculator →Memory needed by quantization
At 8,192 tokens of context.
| Quant | Quality | Memory | Fits? | Speed |
|---|---|---|---|---|
| FP16 | Full quality | 68.3 GB | Too big | — |
| Q8_0 | Near-lossless | 37.6 GB | Too big | — |
| Q6_K | Excellent | 29.6 GB | Too big | — |
| Q5_K_M | Very good | 26.1 GB | Too big | — |
| Q4_K_M | Good, most popular | 22.6 GB | Fits | ~30 tok/s |
| Q3_K_M | Noticeably degraded | 18.8 GB | Fits | ~38 tok/s |
| Q2_K | Heavily degraded | 15 GB | Fits | ~49 tok/s |
How to run Qwen3 32B on the NVIDIA RTX 4090
With Ollama installed, one command downloads and starts it:
ollama run qwen3:32bOllama's default download is Q4_K_M (about 22.6 GB here). That is also the best quant that fits.
GPUs that run Qwen3 32B comfortably
- NVIDIA RTX 3090 (24 GB)
- AMD Radeon RX 7900 XTX (24 GB)
- NVIDIA RTX 5090 (32 GB)
- Apple M4 Pro (48GB)
- Apple M3 Max (64GB)
Models that run well on the NVIDIA RTX 4090
Run it in the cloud
Don't want to buy hardware? Run Qwen3 32B on a rented GPU today.
Rent a cloud GPU by the hour. No upfront cost, cancel any time.