localai.computer

Loading content...

GPUs for AI Models: Benchmarks & Specs

Can NVIDIA H200 SXM 141GB run OpenPipe/Qwen3-14B-Instruct?

Runs Q4141GB VRAM availableRequires 7GB+

NVIDIA H200 SXM 141GB meets the minimum VRAM requirement for Q4 inference of OpenPipe/Qwen3-14B-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	7GB	141GB	470.96 tok/s	✅ Fits comfortably
Q8	14GB	141GB	338.80 tok/s	✅ Fits comfortably
FP16	29GB	141GB	181.04 tok/s	✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X

192GB

566.73 tok/s

Price: —

AMD Instinct MI300X

192GB

372.83 tok/s

Price: —

NVIDIA H100 SXM5 80GB

80GB

More questions

NVIDIA H200 SXM 141GB specs & pricing Full guide for OpenPipe/Qwen3-14B-Instruct