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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.

What this means for you

NVIDIA H200 SXM 141GB can run GSAI-ML/LLaDA-8B-Instruct with Q4 quantization. At approximately 645 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 137GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB141GB644.97 tok/s✅ Fits comfortably
Q89GB141GB465.05 tok/s✅ Fits comfortably
FP1617GB141GB281.04 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
691.77 tok/s
Price: —
AMD Instinct MI300X
192GB
521.02 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
496.07 tok/s
Price: —
AMD Instinct MI250X
128GB
437.11 tok/s
Price: —
AMD Instinct MI250X
128GB
357.17 tok/s
Price: —

More questions

NVIDIA H200 SXM 141GB specs & pricingFull guide for GSAI-ML/LLaDA-8B-InstructGSAI-ML/LLaDA-8B-Instruct speed on NVIDIA H200 SXM 141GBGSAI-ML/LLaDA-8B-Instruct Q4 requirements