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Can NVIDIA A100 40GB PCIe run deepseek-ai/deepseek-coder-1.3b-instruct?

Runs Q440GB VRAM availableRequires 2GB+

NVIDIA A100 40GB PCIe meets the minimum VRAM requirement for Q4 inference of deepseek-ai/deepseek-coder-1.3b-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-1.3b-instruct with Q4 quantization. At approximately 295 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 38GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q42GB40GB294.79 tok/s✅ Fits comfortably
Q83GB40GB204.61 tok/s✅ Fits comfortably
FP166GB40GB106.62 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
872.32 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
858.21 tok/s
Price: —
AMD Instinct MI300X
192GB
688.30 tok/s
Price: —
AMD Instinct MI250X
128GB
586.19 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
580.59 tok/s
Price: —

More questions

NVIDIA A100 40GB PCIe specs & pricingFull guide for deepseek-ai/deepseek-coder-1.3b-instructdeepseek-ai/deepseek-coder-1.3b-instruct speed on NVIDIA A100 40GB PCIedeepseek-ai/deepseek-coder-1.3b-instruct Q4 requirements