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Can NVIDIA RTX 6000 Ada run google/gemma-2-2b-it?

Runs Q448GB VRAM availableRequires 1GB+

NVIDIA RTX 6000 Ada meets the minimum VRAM requirement for Q4 inference of google/gemma-2-2b-it. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

NVIDIA RTX 6000 Ada can run google/gemma-2-2b-it with Q4 quantization. At approximately 200 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 47GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q41GB48GB199.71 tok/s✅ Fits comfortably
Q82GB48GB164.57 tok/s✅ Fits comfortably
FP164GB48GB75.04 tok/s✅ Fits comfortably

Best current price

NVIDIA RTX 6000 Ada
$7,199.00 on Amazon
Check Price

Suitable alternatives

AMD Instinct MI300X
192GB
979.74 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
872.99 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
625.72 tok/s
Price: —
AMD Instinct MI300X
192GB
603.41 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
584.42 tok/s
Price: —

More questions

NVIDIA RTX 6000 Ada specs & pricingFull guide for google/gemma-2-2b-itgoogle/gemma-2-2b-it speed on NVIDIA RTX 6000 Adagoogle/gemma-2-2b-it Q4 requirements