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GPUs for AI Models: Benchmarks & Specs

Can NVIDIA H200 SXM 141GB run RedHatAI/Llama-3.3-70B-Instruct-FP8-dynamic?

Runs Q4141GB VRAM availableRequires 34GB+

NVIDIA H200 SXM 141GB meets the minimum VRAM requirement for Q4 inference of RedHatAI/Llama-3.3-70B-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	34GB	141GB	252.89 tok/s	✅ Fits comfortably
Q8	68GB	141GB	174.12 tok/s	✅ Fits comfortably
FP16	137GB	141GB	94.22 tok/s	✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X

192GB

277.33 tok/s

Price: —

AMD Instinct MI300X

192GB

177.43 tok/s

Price: —

NVIDIA H100 SXM5 80GB

80GB

More questions

NVIDIA H200 SXM 141GB specs & pricing Full guide for RedHatAI/Llama-3.3-70B-Instruct-FP8-dynamic