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⇱ AMD EPYC 9575F CPUs For GPU/AI Servers Show Leading Performance In Benchmarks Review - Phoronix


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AMD EPYC 9575F CPUs For GPU/AI Servers Show Leading Performance In Benchmarks

Written by Michael Larabel in Processors on 11 September 2025 at 08:30 AM EDT. Page 4 of 4. 10 Comments.

For smaller models too, the AMD EPYC 9575F still showed an advantage over the Intel Xeon Platinum alternative at a similar price point.

When running the DeepSeek MOE 16b chat M.O.E. model, the AMD EPYC 9575F latency advantage was extremely clear-cut compared to the Intel Xeon Platinum H100 server.

While everyone likes to talk about AI performance these days, for those evaluating host CPU options for GPU-accelerated servers for other workloads, the high frequency AMD EPYC 9575F was proving advantageous in other areas too like CUDA/OptiX rendering on the H100 or the NAMD molecular dynamics software. But most of my time was spent looking at the vLLM performance between these two servers for the time I had available to poke at these remote servers.

The AMD EPYC 9575F with its sixty-four Zen 5 cores and being able to boost up to 5.0GHz and sporting twelve channels of DDR5-6000/DDR5-6400 memory make it a leading option for GPU/AI servers. Compared to the Intel Xeon Platinum 8592+ server with the same eight NVIDIA H100 GPU configuration, the AMD EPYC 9575F was delivering consistently better performance as the host processors for these Supermicro AI servers. Particularly when it came to the performance in latency-constrained inference serving, AMD EPYC Turin-HF performed exceptionally well up against the Intel Xeon Platinum dual socket server with the same 64 core / 128 thread counts. Yes, the Xeon Platinum 8592+ is based on Emerald Rapids rather than Granite Rapids due to the limited availability so far still for GNR servers. As mentioned, I am looking forward to revisiting this comparison once having access to an applicable server.

As shown from this round of testing, the latency-constrained AI performance showcased by AMD earlier this summer panned out and was completely reproducible in my testing. The vLLM AI performance enjoyed higher throughput and lower latency in using the AMD EPYC 9575F server processors rather than the competing Intel Xeon CPUs. This shows the importance of the host CPU selection for GPU/AI servers and being yet another area where the AMD EPYC 9005 series is delivering leading performance.

Thanks to AMD for providing the gratis access to these two servers for exploring the performance of the host CPU performance for AI/GPU workloads. Outside of that you can see my dozens of other articles for plenty of other EPYC 9005 CPU benchmarks for those curious about the AMD EPYC Turin performance in other areas, including of the EPYC 9575F.

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Michael Larabel is the principal author of Phoronix.com and founded the site in 2004 with a focus on enriching the Linux hardware experience. Michael has written more than 20,000 articles covering the state of Linux hardware support, Linux performance, graphics drivers, and other topics. Michael is also the lead developer of the Phoronix Test Suite, Phoromatic, and OpenBenchmarking.org automated benchmarking software. He can be followed via Twitter, LinkedIn, or contacted via MichaelLarabel.com.