AMD MI300X vs. Nvidia H100 SXM: Performance Comparison on Mixtral 8x7B Inference

Nvidia has long been the leader in AI training and inference, primarily due to its CUDA software, despite AMD's MI300X having superior specifications compared to Nvidia's H100. Benchmarks comparing the two GPUs using MistralAI's Mixtral 8x7B LLM show that the MI300X outperforms the H100 SXM at small and large batch sizes, benefiting from its 192GB VRAM, but falls short at medium batch sizes. Cost analysis reveals the MI300X is more cost-effective at very low and very high batch sizes, while the H100 SXM remains better for medium batch sizes. Serving benchmarks indicate that the MI300X offers lower latency and better consistency at larger batch sizes, whereas the H100 SXM excels in throughput at smaller to medium batch sizes. The choice between these GPUs depends on specific workload needs, with the MI300X being suitable for larger and more demanding tasks due to its higher VRAM capacity.

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