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Can NVIDIA A6000 run google/gemma-2-9b-it?

Runs Q448GB VRAM availableRequires 5GB+

NVIDIA A6000 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 A6000 can run google/gemma-2-9b-it with Q4 quantization. At approximately 93 tokens/second, you can expect Good speed - acceptable for interactive use.

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

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q45GB48GB92.90 tok/s✅ Fits comfortably
Q810GB48GB64.05 tok/s✅ Fits comfortably
FP1620GB48GB40.98 tok/s✅ Fits comfortably

Best current price

NVIDIA A6000
$4,899.00 on Amazon
Check Price

Suitable alternatives

AMD Instinct MI300X
192GB
525.21 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
473.18 tok/s
Price: —
AMD Instinct MI300X
192GB
401.21 tok/s
Price: —
AMD Instinct MI250X
128GB
384.71 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
376.72 tok/s
Price: —

More questions

NVIDIA A6000 specs & pricingFull guide for google/gemma-2-9b-itgoogle/gemma-2-9b-it speed on NVIDIA A6000google/gemma-2-9b-it Q4 requirements