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Can RTX 5090 run google/gemma-2-27b-it?

Runs Q432GB VRAM availableRequires 14GB+

RTX 5090 meets the minimum VRAM requirement for Q4 inference of google/gemma-2-27b-it. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

RTX 5090 can run google/gemma-2-27b-it with Q4 quantization. At approximately 156 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 18GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q414GB32GB156.13 tok/s✅ Fits comfortably
Q828GB32GB112.75 tok/s✅ Fits comfortably
FP1656GB32GB68.69 tok/s❌ Not recommended

Suitable alternatives

AMD Instinct MI300X
192GB
449.22 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
381.48 tok/s
Price: —
AMD Instinct MI300X
192GB
295.62 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
295.00 tok/s
Price: —
AMD Instinct MI250X
128GB
247.99 tok/s
Price: —

More questions

RTX 5090 specs & pricingFull guide for google/gemma-2-27b-itgoogle/gemma-2-27b-it speed on RTX 5090google/gemma-2-27b-it Q4 requirements