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Can NVIDIA A100 40GB PCIe run deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct?

Runs Q440GB VRAM availableRequires 4GB+

NVIDIA A100 40GB PCIe meets the minimum VRAM requirement for Q4 inference of deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

NVIDIA A100 40GB PCIe can run deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct with Q4 quantization. At approximately 216 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 36GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB40GB216.36 tok/s✅ Fits comfortably
Q87GB40GB153.24 tok/s✅ Fits comfortably
FP1615GB40GB89.33 tok/s✅ Fits comfortably

Suitable alternatives

NVIDIA H200 SXM 141GB
141GB
702.13 tok/s
Price: —
AMD Instinct MI300X
192GB
693.59 tok/s
Price: —
AMD Instinct MI300X
192GB
583.05 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
520.27 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
504.08 tok/s
Price: —

More questions

NVIDIA A100 40GB PCIe specs & pricingFull guide for deepseek-ai/DeepSeek-Coder-V2-Lite-Instructdeepseek-ai/DeepSeek-Coder-V2-Lite-Instruct speed on NVIDIA A100 40GB PCIedeepseek-ai/DeepSeek-Coder-V2-Lite-Instruct Q4 requirements