Can the NVIDIA RTX 3090 run Qwen3 Coder 30B-A3B?
Yes
QuantQ5_K_MVery good
Memory23.1 GBof 24 GB
Speed~239tokens/s
Yes. The NVIDIA RTX 3090 can run Qwen3 Coder 30B-A3B fully in VRAM at Q5_K_M (very good), using about 23.1 GB of the 24 GB available, at roughly 239 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 | 62.4 GB | Too big | — |
| Q8_0 | Near-lossless | 33.8 GB | Too big | — |
| Q6_K | Excellent | 26.4 GB | Too big | — |
| Q5_K_M | Very good | 23.1 GB | Fits | ~239 tok/s |
| Q4_K_M | Good, most popular | 19.9 GB | Fits | ~281 tok/s |
| Q3_K_M | Noticeably degraded | 16.3 GB | Fits | ~348 tok/s |
| Q2_K | Heavily degraded | 12.8 GB | Fits | ~454 tok/s |
How to run Qwen3 Coder 30B-A3B on the NVIDIA RTX 3090
With Ollama installed, one command downloads and starts it:
ollama run qwen3-coder:30bOllama's default download is Q4_K_M (about 19.9 GB here). You have room for Q5_K_M, which is very good: pick that GGUF in LM Studio or from Hugging Face.
GPUs that run Qwen3 Coder 30B-A3B comfortably
- AMD Radeon RX 7900 XTX (24 GB)
- NVIDIA RTX 4090 (24 GB)
- Apple M2 Pro (32GB)
- NVIDIA RTX 5090 (32 GB)
- Apple M4 Pro (48GB)
Models that run well on the NVIDIA RTX 3090
Run it in the cloud
Don't want to buy hardware? Run Qwen3 Coder 30B-A3B on a rented GPU today.
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