HomeCan I run it?Qwen3-32BQwen3-32B on an Arc B580
No. Qwen3-32B at Q4_K_M needs about 23.8 GB, and the Intel Arc B580 has 12.0 GB usable at a ~4k context.
Can I run Qwen3-32B on an Arc B580?
Qwen3-32B at Q4_K_M needs about 23.8 GB, and the Intel Arc B580 has 12.0 GB usable. That figure is 12 GB of VRAM on the spec sheet, of which 12.0 GB is usable for weights and cache, at 456 GB/s memory bandwidth. Alibaba’s dense 32B Qwen3, a common “best quality that still fits a 24 GB card” pick. These are estimates from our formula, not measured benchmarks.
- Quant that fits
- None of Q4, Q8 or FP16 needs 23.8 GB
- Memory needed
- 23.8 GB at Q4_K_M, ~4k context
- Usable VRAM
- 12.0 GB of 12 GB VRAM
- Est. tokens/sec
- n/a does not fit
Memory at each quant
| Quant | Need vs 12.0 GB | Verdict |
|---|---|---|
| Q4_K_M | 23.8 GB | Q4Won’t fit |
| Q8_0 | 41.0 GB | Q8Won’t fit |
| FP16 | 76.4 GB | FP16Won’t fit |
Estimated tokens per second
No speed estimate: Qwen3-32B does not fit in the 12.0 GB this machine can use, so we do not publish a tokens/sec figure for CPU offload.
Context headroom
Even at a short ~4k context, the weights do not fit. Extending context would only increase the gap.
| Context | KV cache (FP16) | Total at Q4_K_M | Verdict |
|---|---|---|---|
| 4k | 1.1 GB | 23.8 GB | Won’t fit |
| 8k | 2.1 GB | 24.9 GB | Won’t fit |
| 16k | 4.3 GB | 27.1 GB | Won’t fit |
| 32k | 8.6 GB | 31.4 GB | Won’t fit |
| 64k | 17.2 GB | 39.9 GB | Won’t fit |
| 128k | 34.4 GB | 57.1 GB | Won’t fit |
What to do instead
- Run R1 Distill 14B instead (11.3 GB at Q4). It is a different model, not a drop-in, but it does fit this machine.
- To hold Qwen3-32B at Q4, you need about 23.8 GB. The GeForce RTX 3090 has 24.0 GB usable ($1499 list price).
- CPU offload can load the weights anyway, but it is slow. We do not publish an offload tokens/sec figure.
- See the best GPU for this model family and the Qwen3-32B model page.
Other hardware for Qwen3-32B
- Qwen3-32B on an RTX 3060 12GBWon’t fit
- Qwen3-32B on an RTX 3070 TiWon’t fit
- Qwen3-32B on an RTX 3080Won’t fit
- Qwen3-32B on an RTX 3090Tight
- Qwen3-32B on an RTX 4060 Ti 16GBWon’t fit
- Qwen3-32B on an RTX 4070 Ti SuperWon’t fit
Other models on an Arc B580
- Qwen3-30B-A3B on an Arc B580Won’t fit
- Qwen3.8-27B on an Arc B580Won’t fit
- Gemma 3 27B on an Arc B580Won’t fit
- Gemma 4 31B on an Arc B580Won’t fit
- gpt-oss-20b on an Arc B580Won’t fit
- Mistral Small 24B on an Arc B580Won’t fit
Quick answers
- Can I run Qwen3-32B on an Arc B580?
- No. Qwen3-32B at Q4_K_M needs about 23.8 GB, and the Intel Arc B580 has 12.0 GB usable.
- How much VRAM does Qwen3-32B need?
- About 23.8 GB at Q4_K_M, 41.0 GB at Q8_0 and 76.4 GB at FP16, estimated for a ~4k context.
- How fast is Qwen3-32B on an Arc B580?
- We do not estimate tokens/sec when the model does not fit. CPU offload is possible but slow.
- What context length can I use?
- The weights already do not fit, so longer context is not the limiting factor.