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Can NVIDIA H100 SXM5 80GB run deepseek-ai/DeepSeek-R1-Distill-Qwen-7B?

Runs Q480GB VRAM availableRequires 4GB+

NVIDIA H100 SXM5 80GB meets the minimum VRAM requirement for Q4 inference of deepseek-ai/DeepSeek-R1-Distill-Qwen-7B. 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-7B with Q4 quantization. At approximately 498 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 76GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB80GB497.67 tok/s✅ Fits comfortably
Q87GB80GB361.69 tok/s✅ Fits comfortably
FP1615GB80GB187.04 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
762.90 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
699.82 tok/s
Price: —
AMD Instinct MI300X
192GB
504.29 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
476.61 tok/s
Price: —
AMD Instinct MI250X
128GB
447.37 tok/s
Price: —

More questions

NVIDIA H100 SXM5 80GB specs & pricingFull guide for deepseek-ai/DeepSeek-R1-Distill-Qwen-7Bdeepseek-ai/DeepSeek-R1-Distill-Qwen-7B speed on NVIDIA H100 SXM5 80GBdeepseek-ai/DeepSeek-R1-Distill-Qwen-7B Q4 requirements