Can the RTX Spark N1X (128 GB) run Qwen3 32B?
Yes. Qwen3 32B fits the RTX Spark N1X (128 GB)'s 128 GB at Q4_K_M (about 20.8 GB needed), running at an estimated 8.3 tok/s. There's room for up to FP16 if you want higher quality.
Every quantization
Qwen3 32B (32B) on 128 GB
| Quant | Weights | Needs | Fit | Est. speed |
|---|---|---|---|---|
| Q4_K_M | 19 GB | 20.8 GB | Fits easily | ~8.3 tok/s |
| Q5_K_M | 23 GB | 24.8 GB | Fits easily | ~6.8 tok/s |
| Q8_0 | 34 GB | 35.8 GB | Fits easily | ~4.6 tok/s |
| FP16 | 64 GB | 65.8 GB | Fits easily | ~2.5 tok/s |
Estimates. Needs = weights + 1.8 GB for KV cache and runtime at modest context. Speed is single-stream decode scaled from the RTX Spark N1X (128 GB)'s 273 GB/s bandwidth (Estimated from memory bandwidth (llama.cpp decode); bandwidth assumed equal to DGX Spark (GB10), which shares the 6,144-core GPU - NVIDIA has not published an N1X figure). Long contexts need more memory and run slower.
Run it
Copy, paste, go
ollama run qwen3:32bllama-server -hf Qwen/Qwen3-32B-GGUF -ngl 99Ollama 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 5090 D~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
Also runs on the RTX Spark N1X (128 GB)
- gpt-oss-120b~35 tok/s
- Qwen2.5 72B~3.9 tok/s
- Llama 3.3 70B~3.9 tok/s
- Qwen3.6 35B A3B~60 tok/s
- Qwen3.5 35B A3B~60 tok/s
- dolphin-2.9.1-yi-1.5-34b~7.8 tok/s
- Gemma 4 31B~8.3 tok/s
- GLM-4.7-Flash~60 tok/s
Frequently asked
Quick answers
Can the NVIDIA RTX Spark N1X (128 GB) run Qwen3 32B?
Yes. Qwen3 32B fits the RTX Spark N1X (128 GB)'s 128 GB at Q4_K_M (about 20.8 GB needed), running at an estimated 8.3 tok/s. There's room for up to FP16 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 Spark N1X (128 GB)?
Roughly 8.3 tokens per second at Q4_K_M (single user, llama.cpp-style decode). This is an estimate from the RTX Spark N1X (128 GB)'s 273 GB/s memory bandwidth.