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Can NVIDIA H100 SXM5 80GB run deepseek-ai/DeepSeek-R1-Distill-Qwen-32B?

Runs Q480GB VRAM availableRequires 16GB+

NVIDIA H100 SXM5 80GB 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 H100 SXM5 80GB can run deepseek-ai/DeepSeek-R1-Distill-Qwen-32B with Q4 quantization. At approximately 164 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 64GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q416GB80GB163.64 tok/s✅ Fits comfortably
Q833GB80GB122.39 tok/s✅ Fits comfortably
FP1666GB80GB63.63 tok/s✅ Fits comfortably

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: —
AMD Instinct MI250X
128GB
160.85 tok/s
Price: —

More questions

NVIDIA H100 SXM5 80GB specs & pricingFull guide for deepseek-ai/DeepSeek-R1-Distill-Qwen-32Bdeepseek-ai/DeepSeek-R1-Distill-Qwen-32B speed on NVIDIA H100 SXM5 80GBdeepseek-ai/DeepSeek-R1-Distill-Qwen-32B Q4 requirements