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Can RTX 5090 run openai-community/gpt2-medium?

Runs Q432GB VRAM availableRequires 4GB+

RTX 5090 meets the minimum VRAM requirement for Q4 inference of openai-community/gpt2-medium. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

RTX 5090 can run openai-community/gpt2-medium with Q4 quantization. At approximately 301 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 28GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB32GB301.31 tok/s✅ Fits comfortably
Q87GB32GB220.67 tok/s✅ Fits comfortably
FP1615GB32GB111.45 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
782.43 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
733.87 tok/s
Price: —
AMD Instinct MI300X
192GB
506.35 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
493.25 tok/s
Price: —
AMD Instinct MI250X
128GB
474.23 tok/s
Price: —

More questions

RTX 5090 specs & pricingFull guide for openai-community/gpt2-mediumopenai-community/gpt2-medium speed on RTX 5090openai-community/gpt2-medium Q4 requirements