Can I Run DeepSeek-R1-Distill-Qwen-32B on NVIDIA GeForce RTX 5090?
Written by Jakub Rusinowski · Last updated September 29, 2026
These figures are for DeepSeek-R1-Distill-Qwen-32B, a distill of Qwen2.5-32B — not the full DeepSeek R1. The full DeepSeek R1 (671B) needs about 405 GB of weights at Q4_K_M and is a different model.
Yes, comfortably — DeepSeek R1 Distill Qwen 32B at Q4_K_M needs 22.3 GB at 8K context (19.3 GB weights + 3 GB KV cache/overhead), leaving ~9.7 GB of the NVIDIA GeForce RTX 5090's 32 GB, at ~64 tok/s (est.), with room for up to 32K context.
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NVIDIA GeForce RTX 5090 Specs
| VRAM | 32 GB |
| Memory Bandwidth | 1792 GB/s |
DeepSeek R1 Distill Qwen 32B on the NVIDIA GeForce RTX 5090: VRAM by quantization
| Quant | VRAM needed | Fits 32 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 66.9 GB | ✗ No | — | — |
| Q8_0 | 36.9 GB | ✗ No | — | Build for this |
| Q6_K | 29.2 GB | ✓ Yes | 16K | — |
| Q5_K_M | 25.6 GB | ✓ Yes | 16K | Build for this |
| Q4_K_M | 22.3 GB | ✓ Yes | 32K | Build for this |
| Q3_K_M | 16.6 GB | ✓ Yes | 64K | — |
| Q2_K | 13.5 GB | ✓ Yes | 64K | — |
Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 32 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 5090: 8K 22.3 GB · 32K 28.7 GB · 128K 54.5 GB ✗. Past 128K it no longer fits 32 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? DeepSeek R1 Distill Qwen 32B on 32 GB of system RAM, CPU only: runs comfortably.
DeepSeek R1 Sizes That Fit the NVIDIA GeForce RTX 5090 (at 8K context)
| DeepSeek R1 Distill Qwen 32B | Q4_K_M · 22.3 GB at 8K context · ~64 tok/s (est.) |
| DeepSeek R1 Distill Qwen 14B | Q4_K_M · 10.6 GB at 8K context · ~121 tok/s (est.) |
| DeepSeek R1 Distill Llama 8B | Q4_K_M · 6.7 GB at 8K context · ~173 tok/s (est.) |
At 2 hrs/day, buying (~$1,999) beats renting at $0.34/hr after about 8.2 years.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
DeepSeek R1 on the NVIDIA GeForce RTX 5090 — does it fit?
Yes, comfortably — DeepSeek R1 Distill Qwen 32B at Q4_K_M needs 22.3 GB at 8K context (19.3 GB weights + 3 GB KV cache/overhead), leaving ~9.7 GB of the NVIDIA GeForce RTX 5090's 32 GB, at ~64 tok/s (est.), with room for up to 32K context.
Which DeepSeek R1 variant fits best on the NVIDIA GeForce RTX 5090?
DeepSeek R1 Distill Qwen 32B at Q4_K_M quantization needs 22.3 GB at 8K context (19.3 GB weights + 3 GB KV cache/overhead), estimated ~64 tokens/sec, up to 32K context.
Every DeepSeek R1 size on the NVIDIA GeForce RTX 5090
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| DeepSeek R1 (671B) | 406.5 GB | Does not fit | — |
| DeepSeek R1 Distill Qwen 14B | 10.6 GB | Runs | ~121 tok/s |
| DeepSeek R1 Distill Llama 8B | 6.7 GB | Runs | ~173 tok/s |
DeepSeek R1 on Other GPUs
- DeepSeek R1 on Apple M4
- DeepSeek R1 on Apple M2 Pro
- DeepSeek R1 on Apple M1 Pro
- DeepSeek R1 on Apple M5
- DeepSeek R1 on Apple M3 Pro
Popular Models on the NVIDIA GeForce RTX 5090
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Troubleshooting
Buying Guide
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