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GPUs for AI Models: Benchmarks & Specs

Can NVIDIA H200 SXM 141GB run openai-community/gpt2-large?

Runs Q4141GB VRAM availableRequires 4GB+

NVIDIA H200 SXM 141GB meets the minimum VRAM requirement for Q4 inference of openai-community/gpt2-large. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

Quantization breakdown

Quantization	VRAM needed	VRAM available	Estimated speed	Verdict
Q4	4GB	141GB	643.83 tok/s	✅ Fits comfortably
Q8	7GB	141GB	465.78 tok/s	✅ Fits comfortably
FP16	15GB	141GB	287.45 tok/s	✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X

192GB

805.37 tok/s

Price: —

AMD Instinct MI300X

192GB

551.22 tok/s

Price: —

NVIDIA H100 SXM5 80GB

80GB

More questions

NVIDIA H200 SXM 141GB specs & pricing Full guide for openai-community/gpt2-large