Can I Run DeepSeek-R1-Distill-Qwen-32B on NVIDIA RTX 6000 Ada Generation?

Superseded model. DeepSeek R1 has been superseded by DeepSeek V4. This page is kept for reference; the newer family is a better starting point. View DeepSeek V4 →

Written by Jakub Rusinowski · Last updated July 21, 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 — you'll have ~28.7 GB of headroom running DeepSeek R1 Distill Qwen 32B at Q4_K_M (19.32 GB, ~40 tok/s (est.)) with room for up to 64K context.

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NVIDIA RTX 6000 Ada Generation 48GB
Launch MSRP: $6,799
2026 prices are volatile — check the current listing.
Check price on Amazon

NVIDIA RTX 6000 Ada Generation Specs

VRAM48 GB
Memory Bandwidth960 GB/s

DeepSeek R1 Distill Qwen 32B on the NVIDIA RTX 6000 Ada Generation: VRAM by quantization

QuantVRAM neededFits 48 GB?Max context
F1665.9 GB✗ No
Q8_035.9 GB✓ Yes32K
Q6_K28.1 GB✓ Yes64K
Q5_K_M24.6 GB✓ Yes64K
Q4_K_M21.2 GB✓ Yes64K
Q3_K_M15.5 GB✓ Yes64K
Q2_K12.4 GB✓ Yes128K

VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 48 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

DeepSeek R1 Sizes That Fit the NVIDIA RTX 6000 Ada Generation

DeepSeek R1 Distill Qwen 32BQ4_K_M · 19.32 GB · ~40 tok/s (est.)
DeepSeek R1 Distill Qwen 14BQ4_K_M · 8.4525 GB · ~80 tok/s (est.)
DeepSeek R1 Distill Llama 8BQ4_K_M · 4.83 GB · ~121 tok/s (est.)
Buy vs. rent DeepSeek-R1-Distill-Qwen-32B
Buy the GPU
~$6,799
NVIDIA RTX 6000 Ada Generation · MSRP
Rent by the hour
from $0.34/hr
RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$6,799) beats renting at $0.34/hr after about 27.8 years.

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RunPod $0.34/hr
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Vast.ai $0.35/hr · typical low · varies
Rent on Vast.ai →

Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.

FAQ

Can I run DeepSeek R1 on the NVIDIA RTX 6000 Ada Generation?

Yes, comfortably — you'll have ~28.7 GB of headroom running DeepSeek R1 Distill Qwen 32B at Q4_K_M (19.32 GB, ~40 tok/s (est.)) with room for up to 64K context.

What's the best DeepSeek R1 size for the NVIDIA RTX 6000 Ada Generation?

DeepSeek R1 Distill Qwen 32B at Q4_K_M quantization (19.32 GB), estimated ~40 tokens/sec, up to 64K context.

DeepSeek R1 on Other GPUs

Popular Models on the NVIDIA RTX 6000 Ada Generation

VRAM Tier

Troubleshooting

Buying Guide

← Can I Run It? | DeepSeek R1 Model Page | NVIDIA RTX 6000 Ada Generation GPU Page | Check Your Hardware