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Can NVIDIA L40S run google/gemma-2-9b-it?

Runs Q448GB VRAM availableRequires 5GB+

NVIDIA L40S meets the minimum VRAM requirement for Q4 inference of google/gemma-2-9b-it. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

NVIDIA L40S can run google/gemma-2-9b-it with Q4 quantization. At approximately 129 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 43GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q45GB48GB129.05 tok/s✅ Fits comfortably
Q810GB48GB93.58 tok/s✅ Fits comfortably
FP1620GB48GB49.68 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
546.38 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
504.56 tok/s
Price: —
AMD Instinct MI300X
192GB
393.56 tok/s
Price: —
AMD Instinct MI250X
128GB
378.36 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
376.93 tok/s
Price: —

More questions

NVIDIA L40S specs & pricingFull guide for google/gemma-2-9b-itgoogle/gemma-2-9b-it speed on NVIDIA L40Sgoogle/gemma-2-9b-it Q4 requirements