Home / Can I run it? / R1 Distill 32B / R1 Distill 32B on an RTX 5090

Yes. R1 Distill 32B at Q4_K_M needs about 23.8 GB, and the GeForce RTX 5090 has 32.0 GB usable at a ~4k context.

Can I run R1 Distill 32B on an RTX 5090?

R1 Distill 32B at Q4_K_M needs about 23.8 GB, and the GeForce RTX 5090 has 32.0 GB usable. That figure is 32 GB of VRAM on the spec sheet, of which 32.0 GB is usable for weights and cache, at 1792 GB/s memory bandwidth. A 32B DeepSeek-R1 distill on Qwen. Memory need matches Qwen3-32B; the weights are distilled from DeepSeek-R1. These are estimates from our formula, not measured benchmarks.

Quant that fits

Q4_K_M Fits with headroom

Memory needed

23.8 GB at Q4_K_M, ~4k context

Usable VRAM

32.0 GB of 32 GB VRAM

Est. tokens/sec

54–77 estimate

DeepSeek-R1-Distill-Qwen-32B · GeForce RTX 5090 · Everything this machine runs · Q4 vs Q8 vs FP16

Memory at each quant

Estimated tokens per second

Estimate: 54–77 tokens/sec at Q4_K_M. This is a bandwidth-derived range, not a bench. Efficiency is a 60–85% GPU band from How we calculate.

Context headroom

At Q4_K_M, this machine has headroom out to about 32k tokens under our KV estimate. Longer chats need more memory for the cache. Figures assume an FP16 KV cache.

From the model’s config. Try other sizes in the VRAM calculator or see the context length guide.

What to do instead

• Q8_0 needs 41.0 GB and does not fit here. The Mac mini M5 Pro 64GB has 48.0 GB usable, enough for Q8.
• See the best GPU for this model family and the DeepSeek-R1-Distill-Qwen-32B model page.

Other hardware for R1 Distill 32B

• R1 Distill 32B on an RTX 4090Tight
• R1 Distill 32B on an RTX 3090Tight
• R1 Distill 32B on an RTX 5080Won’t fit
• R1 Distill 32B on a Mac mini 24GBWon’t fit
• R1 Distill 32B on an RX 7900 XTXTight

Other models on an RTX 5090

• Qwen3-32B on an RTX 5090Fits
• Qwen3-30B-A3B on an RTX 5090Fits
• Qwen3.8-27B on an RTX 5090Fits
• Gemma 3 27B on an RTX 5090Fits
• Gemma 4 31B on an RTX 5090Fits
• gpt-oss-20b on an RTX 5090Fits