AMD MI300X performance compared with Nvidia H100
The AMD MI300X AI GPU outperforms Nvidia's H100 in cache, latency, and inference benchmarks. It excels in caching performance, compute throughput, but AI inference performance varies. Real-world performance and ecosystem support are essential.
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The AMD MI300X AI GPU, tested by Chips and Cheese, showcases strong performance against Nvidia's H100 in low-level benchmarks focusing on cache, latency, and inference. The MI300X, built on AMD's CDNA 3 architecture, excels in caching performance with four caches, including a significant 256MB Infinity Cache. It outperforms the H100 in cache bandwidth and latency, VRAM, and local memory performance. In terms of raw compute throughput, the MI300X dominates the H100, showing significant improvements over the previous generation MI210. However, AI inference testing reveals that performance can vary based on tuning and workload types. While the MI300X outperforms the H100 in some scenarios, the devil lies in the details, with potential missing information and the need for further testing involving Nvidia and potentially Intel hardware. The MI300X's impressive results suggest a competitive edge over the H100, but real-world performance in large-scale installations and ecosystem support remain crucial factors to consider.
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