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GPUs for AI Models: Benchmarks & Specs

Can NVIDIA H200 SXM 141GB run RedHatAI/Llama-3.2-90B-Vision-Instruct-FP8-dynamic?

Runs Q4141GB VRAM availableRequires 44GB+

NVIDIA H200 SXM 141GB meets the minimum VRAM requirement for Q4 inference of RedHatAI/Llama-3.2-90B-Vision-Instruct-FP8-dynamic. 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	44GB	141GB	124.45 tok/s	✅ Fits comfortably
Q8	88GB	141GB	100.96 tok/s	✅ Fits comfortably
FP16	176GB	141GB	53.48 tok/s	❌ Not recommended

Suitable alternatives

AMD Instinct MI300X

192GB

142.49 tok/s

Price: —

AMD Instinct MI300X

192GB

114.94 tok/s

Price: —

NVIDIA H100 SXM5 80GB

80GB

More questions

NVIDIA H200 SXM 141GB specs & pricing Full guide for RedHatAI/Llama-3.2-90B-Vision-Instruct-FP8-dynamic