Can the RTX 5090 D run Qwen3 32B?

Yes. Qwen3 32B fits the RTX 5090 D's 32 GB at Q4_K_M (about 20.8 GB needed), running at an estimated 54 tok/s. There's room for up to Q5_K_M if you want higher quality.

VRAM

32 GB

Needs at Q4

20.8 GB

Headroom

11.2 GB

Speed (Q4_K_M)

~54 tok/s

Every quantization

Qwen3 32B (32B) on 32 GB

Quant	Weights	Needs	Fit	Est. speed
Q4_K_M	19 GB	20.8 GB	Fits	~54 tok/s
Q5_K_M	23 GB	24.8 GB	Fits	~45 tok/s
Q8_0	34 GB	35.8 GB	Too big	-
FP16	64 GB	65.8 GB	Too big	-

Estimates. Needs = weights + 1.8 GB for KV cache and runtime at modest context. Speed is single-stream decode scaled from the RTX 5090 D's 1790 GB/s bandwidth (Estimated from memory bandwidth (llama.cpp decode)). Long contexts need more memory and run slower.

Run it

Copy, paste, go

ollama run qwen3:32b

llama-server -hf Qwen/Qwen3-32B-GGUF -ngl 99

Ollama pulls a Q4 build by default. Pick a larger quant only if the table above says it fits. Full Qwen3 32B details →

Compare

Same model, other hardware - and other models on this card

Qwen3 32B on other hardware

RTX 5090~54 tok/s
RTX 6000D~47 tok/s
RTX 4090~33 tok/s
RTX 3090~29 tok/s
Radeon RX 7900 XTX~29 tok/s
MacBook Pro 16" M4 Max~16 tok/s
Arc Pro B60~14 tok/s
DGX Spark (GB10)~8.3 tok/s

Also runs on the RTX 5090 D

RTX 5090 D specs →Everything the RTX 5090 D can run →

Frequently asked

Quick answers

Can the GeForce RTX 5090 D run Qwen3 32B?

Yes. Qwen3 32B fits the RTX 5090 D's 32 GB at Q4_K_M (about 20.8 GB needed), running at an estimated 54 tok/s. There's room for up to Q5_K_M if you want higher quality.

How much VRAM does Qwen3 32B need?

About 19 GB of weights at Q4_K_M, 34 GB at Q8_0 and 64 GB at FP16. Add roughly 1.8 GB for the KV cache and runtime at modest context lengths.

How fast is Qwen3 32B on the RTX 5090 D?

Roughly 54 tokens per second at Q4_K_M (single user, llama.cpp-style decode). This is an estimate from the RTX 5090 D's 1790 GB/s memory bandwidth.