Question 1

Can I run Qwen3 Coder 30B A3B on a NVIDIA GeForce RTX 3090?

Accepted Answer

Yes — NVIDIA GeForce RTX 3090 runs Qwen3 Coder 30B A3B fully on GPU at the Q4_K_M quantization. Full GPU inference — 24 GB VRAM meets the 19.5 GB recommendation.

Question 2

What quantization of Qwen3 Coder 30B A3B should I use on a NVIDIA GeForce RTX 3090?

Accepted Answer

For 24 GB VRAM on the NVIDIA GeForce RTX 3090, the Q4_K_M variant is the best fit. Estimated ~49.9 tokens/sec on the Q4_K_M quantization.

Question 3

How fast does Qwen3 Coder 30B A3B run on NVIDIA GeForce RTX 3090?

Accepted Answer

Roughly 49.9 tokens/sec for Q4_K_M. Real speed depends on context length, backend (Ollama, llama.cpp, LM Studio), and KV cache size.

Question 4

What if NVIDIA GeForce RTX 3090 is not enough for Qwen3 Coder 30B A3B?

Accepted Answer

Try a smaller quantization variant or run on CPU + RAM with the trade-off of slower generation.

Quantization	File Size	Min VRAM	Rec VRAM	Context	Verdict	Estimated tok/s
Q4_K_MBest fit	15 GB	17.3 GB	19.5 GB	8K / 8K	Full GPU	~49.9
Q5_K_M	18.8 GB	21.6 GB	24.4 GB	8K / 8K	Partial GPU	~30.3
Q8_0	30 GB	34.5 GB	39 GB	8K / 8K	Hybrid CPU+GPU	~9
FP16	60 GB	69 GB	78 GB	8K / 8K	Can't Run	—

Can I Run Qwen3 Coder 30B A3B on NVIDIA GeForce RTX 3090?

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Every Qwen3 Coder 30B A3B quantization on NVIDIA GeForce RTX 3090