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Can NVIDIA H100 SXM5 80GB run deepseek-ai/DeepSeek-R1?

Runs Q480GB VRAM availableRequires 4GB+

NVIDIA H100 SXM5 80GB meets the minimum VRAM requirement for Q4 inference of deepseek-ai/DeepSeek-R1. 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 with Q4 quantization. At approximately 528 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
Q44GB80GB528.03 tok/s✅ Fits comfortably
Q87GB80GB345.32 tok/s✅ Fits comfortably
FP1615GB80GB176.03 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
804.32 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
666.47 tok/s
Price: —
AMD Instinct MI300X
192GB
502.64 tok/s
Price: —
AMD Instinct MI250X
128GB
487.86 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
478.16 tok/s
Price: —

More questions

NVIDIA H100 SXM5 80GB specs & pricingFull guide for deepseek-ai/DeepSeek-R1deepseek-ai/DeepSeek-R1 speed on NVIDIA H100 SXM5 80GBdeepseek-ai/DeepSeek-R1 Q4 requirements