Conclusion

First of all, Intel's benchmarks lend further support to what we already suspected: Intel's Scalable Xeon is better at serving databases for a number of reasons: better data locality (fewer NUMA nodes), better single-threaded performance, and a more "useable" cache. The claim that Intel offers much more predictable database performance seems very reasonable to us: the EPYC platform is much younger and much more complex to tune as it is a "virtual 8 socket" system.

Secondly it is true that the Intel Scalable Xeon is more versatile: the past 5 years AMD's presence in the server market was neglible, while Intel has been steadily adding virtualization features (posted interrupts), I/O features and more (TSX for example). Many of these features are now supported by the hypervisor and OSes out there.

The EPYC platform has some catching up to do. Firmware updates and other software updates were necessary to run a hypervisor, and only relatively recent versions of the Linux kernel (February 2017 w/4.10+) have support for the EPYC processor. So even if we doubt that the 8160 can really deliver 37% better performance than the AMD EPYC in the real world, there is no denying that the Intel Xeon is a "safer bet" for VMware virtualization.

Nevertheless, it is interesting to see that Intel admits that there are quite a few use cases out there where AMD has an advantage. The AMD EPYC has a performance per dollar advantage in webserving and Java servers, for example.

Otherwise, there is some merit to the claim that AVX-512 allows Intel to offer excellent HPC performance without the use of a GPU in compute intensive applications. At the same time, if you are after the best performance on these very parallel workloads, a GPU almost always offers several times higher performance. AVX-512 can also not save Intel in several bandwidth-intensive benchmarks such, as in fluid dynamics.


Intel Xeon-SP CPUs (Left: with Omni-Path)

One interesting element to the whole scenario is that at no point does Intel ever approach the performance per watt angle in these discussions. It leaves a big question unanswered from Intel - perhaps we should invoke Hanlon's Razor at this point and call it a missed opportunity, rather than suggest that Intel does not want to speak about power. Our own results showed a win for AMD's EPYC here though, when comparing two 145W Xeon 8176 parts to two 180W EPYC 7601 parts. More testing on specific workloads is needed.

In summary, Intel makes several good points, even when those points aren't always in their own favor. The company clearly has an interest in ensuring that the Xeon's performance leadership remains well-known in light of AMD's EPYC-fueled resurgence, and while there's nothing altruistic about Intel's benchmarking, they are working from a sound position. Still, in defending their position – and by extension their high margins – Intel does highlight the Xeon's biggest weakness versus the EPYC in this newly competitive market: the Skylake Xeon can offer excellent performance, but that performance comes with an equally heavy price tag.

HPC Benchmarks
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  • hsupengjun - Sunday, December 3, 2017 - link

    Wow, the first few pages are sooo biased, but damn, are they rightfully so.
  • ajc9988 - Tuesday, January 16, 2018 - link

    @Ian Cutress & Johan De Gelas - Could you please update this by running your own numbers AFTER the full implementation of Spectre and Meltdown fixes. That would be so helpful in showing how much these have effected both platforms and whether your conclusions remain after the fixes. Thank you!
  • FentonW - Wednesday, January 17, 2018 - link

    What this doesn't really address is Memory configurations.
    RAM configurations are very much limited with intel given the 2 DIMMS per channel configuration and 6 channels vs 8 with AMD.

    With Intel you can only get 384GB with 16GB DIMMS, compared to 512GB with AMD.
    If you need 512GB then you have to use 32GB DIMMS on intel which again pushes the price up considerably.
    Which is why customers often choose a Broadwell system over Skylake, to keep memory costs down.
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