Can the NVIDIA RTX 3080 10GB run Qwen3 Coder 30B-A3B?

No

No. Even at Q4_K_M, Qwen3 Coder 30B-A3B needs about 19.9 GB, but the NVIDIA RTX 3080 10GB has 10 GB usable. You could offload some layers to system RAM, but it will be very slow.

Try other context lengths in the calculator →
Run it in the cloud

Too big for the NVIDIA RTX 3080 10GB? Run Qwen3 Coder 30B-A3B on a rented GPU instead.

Rent a cloud GPU by the hour. No upfront cost, cancel any time.

RunPodOn-demand GPUs with ready-made templates for Ollama and vLLM.Rent a GPU on RunPod → Vast.aiA marketplace of rentable GPUs, from RTX cards to H100s.Rent a GPU on Vast.ai →

Memory needed by quantization

At 8,192 tokens of context.

QuantQualityMemoryFits?Speed
FP16Full quality62.4 GBToo big—
Q8_0Near-lossless33.8 GBToo big—
Q6_KExcellent26.4 GBToo big—
Q5_K_MVery good23.1 GBToo big—
Q4_K_MGood, most popular19.9 GBToo big—
Q3_K_MNoticeably degraded16.3 GBToo big—
Q2_KHeavily degraded12.8 GBToo big—

How to run Qwen3 Coder 30B-A3B anyway

On a rented cloud GPU with enough memory, the same command you'd use locally works:

ollama run qwen3-coder:30b

At Q4_K_M it needs about 19.9 GB, so pick a GPU with at least 24 GB.

GPUs that run Qwen3 Coder 30B-A3B comfortably

Check NVIDIA RTX 3090 prices →

Models that run well on the NVIDIA RTX 3080 10GB