8 vs. 12 Channel DDR5-6000 Memory Performance With AMD 5th Gen EPYC
TensorFlow enjoyed a healthy 23% jump in performance out of the four additional memory channels.
The OpenVINO AI toolkit also showed off much better performance on this AMD EPYC Supermicro server from utilizing all twelve memory channels compared to eight channel configurations.
Whisperfile as the Whisper.cpp based AI software also enjoyed making use of all twelve DDR5-6000 memory channels on this Supermicro 1P EPYC server.
The ONNX Runtime improvements out of the 12 channel memory configuration were smaller than in some of the other AI workloads.
In total I ran nearly 200 benchmarks for this eight versus twelve DDR5-6000 memory channel comparison on the Supermicro H13SSL-N with AMD EPYC 9655 1P processor. Those wanting to see all the data can do so via this result file if weighing your options between eight and twelve memory channels depending upon the server/motherboard options and/or justifying the cost. Running these benchmarks were also helpful to myself for solidifying my decision to buy the H13SSL-N over some of the other lower-cost AMD EPYC 9004/9005 series motherboard options that only allow for eight memory channels.
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