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Can NVIDIA A100 80GB SXM4 run deepseek-ai/deepseek-coder-33b-instruct?

Runs Q480GB VRAM availableRequires 17GB+

NVIDIA A100 80GB SXM4 meets the minimum VRAM requirement for Q4 inference of deepseek-ai/deepseek-coder-33b-instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

NVIDIA A100 80GB SXM4 can run deepseek-ai/deepseek-coder-33b-instruct with Q4 quantization. At approximately 100 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 63GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q417GB80GB100.08 tok/s✅ Fits comfortably
Q834GB80GB65.55 tok/s✅ Fits comfortably
FP1668GB80GB36.87 tok/s✅ Fits comfortably

Suitable alternatives

NVIDIA H200 SXM 141GB
141GB
257.98 tok/s
Price: —
AMD Instinct MI300X
192GB
248.53 tok/s
Price: —
AMD Instinct MI300X
192GB
182.93 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
181.86 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
167.60 tok/s
Price: —

More questions

NVIDIA A100 80GB SXM4 specs & pricingFull guide for deepseek-ai/deepseek-coder-33b-instructdeepseek-ai/deepseek-coder-33b-instruct speed on NVIDIA A100 80GB SXM4deepseek-ai/deepseek-coder-33b-instruct Q4 requirements