This is where you can fast forward to the final section of the review, and get a quick recap and points on the EPYC 7401.
Cores: We get 24 cores and 48 threads, more than any consumer CPU on the market and perfect for optimized enterprise environments. If you need more cores, at a reasonable price, EPYC is the way to go.
Octa-Channel DDR4: With 8-channels of DDR4, you get insane memory bandwidth, but our latency results also surprised us as they were better than latency on Thread Ripper.
128 PCI-E Lanes: With 128 PCI-E lanes the possibilities are pretty much limited to the amount of space on the PCB for additions and the amount of room in your chassis and its thermal capabilities.
Dual CPU: The non-P version EPYC CPUs support dual CPU configurations, and the EPYC CPU we have here is perfect for dual CPU setups. However, if you are going to go with one CPU, you should get the 7401P version of the CPU and save $800.
Tax for Dual-CPU: The EPYC 7401 costs $1999, and it looks like you are paying a tax for the CPU since the 7401P only costs $1,149, and the only difference is dual CPU support.
When it comes to consumer and consumer workstation scenarios when you need mixed performance, Thread Ripper is epic. It provides a lot of cores compared to what consumers are used to.
However, if you want more than 16 cores and 32 threads you need to go EPYC if you want to stick with AMD, and the good news is that you will save some power since frequencies are lower. Overall, the EPYC CPU did very well when more cores could be used and in more enterprise/workstation scenario benchmarks, but didn't do well in any type of program that relies on frequency and single core performance, which is what we expected.
Thread Ripper is the best of both worlds, where EPYC is the best of one of the worlds. If you need EPYC, you know you need EPYC, and if you are on edge then you should probably go with Thread Ripper.
|Overall TweakTown Rating||92%|
The Bottom Line: AMD's EPYC processors are definitely aimed at the enterprise, and anyone looking to virtualize their operations, with so many cores at a very, very reasonable price.
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