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Can NVIDIA RTX 6000 Ada run deepseek-ai/DeepSeek-R1-Distill-Qwen-32B?

Runs Q448GB VRAM availableRequires 16GB+

NVIDIA RTX 6000 Ada meets the minimum VRAM requirement for Q4 inference of deepseek-ai/DeepSeek-R1-Distill-Qwen-32B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

NVIDIA RTX 6000 Ada can run deepseek-ai/DeepSeek-R1-Distill-Qwen-32B with Q4 quantization. At approximately 65 tokens/second, you can expect Good speed - acceptable for interactive use.

You have 32GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q416GB48GB64.65 tok/s✅ Fits comfortably
Q833GB48GB42.13 tok/s✅ Fits comfortably
FP1666GB48GB24.62 tok/s❌ Not recommended

Best current price

NVIDIA RTX 6000 Ada
$7,199.00 on Amazon
Check Price

Suitable alternatives

NVIDIA H200 SXM 141GB
141GB
249.16 tok/s
Price: —
AMD Instinct MI300X
192GB
240.67 tok/s
Price: —
AMD Instinct MI300X
192GB
192.92 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
166.86 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
163.64 tok/s
Price: —

More questions

NVIDIA RTX 6000 Ada specs & pricingFull guide for deepseek-ai/DeepSeek-R1-Distill-Qwen-32Bdeepseek-ai/DeepSeek-R1-Distill-Qwen-32B speed on NVIDIA RTX 6000 Adadeepseek-ai/DeepSeek-R1-Distill-Qwen-32B Q4 requirements