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GPUs for AI Models: Benchmarks & Specs

Can NVIDIA H200 SXM 141GB run GSAI-ML/LLaDA-8B-Instruct?

Runs Q4141GB VRAM availableRequires 4GB+

NVIDIA H200 SXM 141GB meets the minimum VRAM requirement for Q4 inference of GSAI-ML/LLaDA-8B-Instruct. 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	704.54 tok/s	✅ Fits comfortably
Q8	9GB	141GB	461.86 tok/s	✅ Fits comfortably
FP16	17GB	141GB	268.41 tok/s	✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X

192GB

745.20 tok/s

Price: —

NVIDIA H100 SXM5 80GB

80GB

512.10 tok/s

Price: —

AMD Instinct MI300X

192GB

More questions

NVIDIA H200 SXM 141GB specs & pricing Full guide for GSAI-ML/LLaDA-8B-Instruct