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AMD MI300X vs. Nvidia H100 LLM Benchmarks
There’s no denying Nvidia's historical dominance when it comes to AI training and inference. Nearly all production AI workloads run on their graphics cards. However, there’s been some optimism recently around AMD, seeing as the MI300X, their intended competitor to Nvidia's H100, is strictly better spec-wise. Yet even
We chose Mistral AI's Mixtral 7x8B LLM for this benchmark due to its popularity in production workflows and its large size, which doesn't fit on a single Nvidia H100 SXM (80GB VRAM). Serving benchmarks evaluate end-to-end performance, including request throughput, token processing times, and inference latency, which are crucial for understanding user experience and responsiveness. Serving benchmarks reveal that the MI300X has lower latency and delivers consistent performance under higher loads, while the H100 SXM maintains robust throughput and cost-efficiency in mid-range batch sizes.
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