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Can NVIDIA A100 80GB SXM4 run google/gemma-3-1b-it?

Runs Q480GB VRAM availableRequires 1GB+

NVIDIA A100 80GB SXM4 meets the minimum VRAM requirement for Q4 inference of google/gemma-3-1b-it. 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 google/gemma-3-1b-it with Q4 quantization. At approximately 322 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 79GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q41GB80GB322.48 tok/s✅ Fits comfortably
Q81GB80GB245.83 tok/s✅ Fits comfortably
FP162GB80GB124.98 tok/s✅ Fits comfortably

Suitable alternatives

NVIDIA H200 SXM 141GB
141GB
867.01 tok/s
Price: —
AMD Instinct MI300X
192GB
862.96 tok/s
Price: —
AMD Instinct MI250X
128GB
625.75 tok/s
Price: —
AMD Instinct MI300X
192GB
623.48 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
601.71 tok/s
Price: —

More questions

NVIDIA A100 80GB SXM4 specs & pricingFull guide for google/gemma-3-1b-itgoogle/gemma-3-1b-it speed on NVIDIA A100 80GB SXM4google/gemma-3-1b-it Q4 requirements