Cost Analysis - An x86 Massacre

The Graviton2 showcased that it can keep up extremely well in terms of performance and throughput, even beating the competition in a lot of the tests. However sometimes you don’t care too much about performance, and you just want to get some workload completed in the cheapest way possible, at which point value comes into play.

Amazon does allude to that, stating that the new chip is able to achieve 40% better performance per dollar than its competition. As covered in the introduction, for the 64-vCPU count 16xlarge instances the m6g (Graviton2), m5a (EPYC1), and m5n (Xeon Cascade Lake) are priced at an hourly cost of $2.464, $2.752 and $3.808 respectively.

Translating the time to completion of our various SPEC tests to hours and multiplying by the hourly cost, we end up with a cost per fixed workload metric:

An aggregate of all workloads summed up together, which should hopefully end up in a representative figure for a wide variety of real-world use-cases, we do end up seeing the Graviton2 coming in 40% cheaper than the competing platforms, an outstanding figure.

If we were to compare the same fixed workload at smaller instance counts, because of Graviton2’s better per-thread performance, we’re seeing even better results on 4xlarge (16 vCPUs) instances. Here the Amazon chip showcases 43% better value than the Xeon chip, and beats the AMD instances by being 53% cheaper.

If we were to transform the results into a fixed throughput per dollar metric, we again see the Graviton2 far ahead. The unit here is SPEC runs per dollar.

The lower the vCPU instance size, the better value the Graviton2 seemingly becomes, as its performance with increased vCPUs scales sublinearly, but the cost of bigger vCPU instances scales linearly, an effect that’s almost not present at all in the AMD system, and only marginally present in the Xeon instances.

Again, the Graviton2’s scaling here might differ in production instances, but given that you can’t just chop off half the chip (or have access to only one of two sockets, in Intel’s case here) and that Amazon seemingly isn’t doing any static partitioning of the chip’s shared resources, I do think it’s more likely than not that such performance and value figures will be encountered in the real-world.

Even ignoring the lower vCPU instances, Amazon was able to deliver on its promise of 40% better performance per dollar, and it’s a massive shakeup for the AWS and EC2 ecosystem.

SPEC - MT Performance (4xlarge 16 vCPU) Conclusion & End Remarks
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  • Quantumz0d - Wednesday, March 11, 2020 - link

    No real benchmark. Another SPEC Whiteknighting. I see the AT forums Apple CPU thread being getting creamed over this again.

    ARM is a lockdown POS. You can't even buy them in this case. Altera CPU didn't even came to STH for comparision where it had so many cores against x86 parts. You cannot get them running majority of the consumer workload. One can claim Power from IBM has SMT8 and first Gen4 and all but if its not consumer centric it won't generate much of profit.

    Author seems to love ARM for some reason and hate x86. Its been since Apple articles but in real time we saw how iPhone gets decimated in speed comparison against Android Flagships running the stone age Qualcomm. We have seen this ARM dethroning x86 numerous times and failed. I hope this also fails, a non standard CPU leaves all fun out of equation. And needs emulation for consumer use which slows down performance.

    People want to see all the workloads. Not SPEC. Also where is EPYC Rome comparision Nowhere. Soon Milan is going to hit. Glad that AMD is alive. This stupid ARM BGA dumpster should be dead in its infancy.
    Reply
  • Wilco1 - Wednesday, March 11, 2020 - link

    LOL - someone feels extremely threatened by Arm servers...

    Mission accomplished!
    Reply
  • anonomouse - Wednesday, March 11, 2020 - link

    Well that was bizarrely incoherent. What workloads would you want to see instead? Nothing else you wrote made any sense or had any facts behind it. Reply
  • Andrei Frumusanu - Wednesday, March 11, 2020 - link

    He's been doing it for the last year or two, ignore it. Reply
  • ProDigit - Wednesday, March 11, 2020 - link

    110W is very pessimistic, and would make no sense at all, considering that the ryzen 9 3900x uses 105W at 12 cores 24 threads at 4.6Ghz and 7nm, and the 3950 does the same with 4 more cores.
    Plus, regular arm based (AMLogic) boxes use 3Watt in total under load (that includes CPU+Ethernet+RAM+Emmc) for 4 CPU cores running at 1,9Ghz.
    If you ask me, 64 core arm CPUs running at 2Ghz should run at around just over 1 watt per core, making it a 65W tdp chip
    Reply
  • Andrei Frumusanu - Wednesday, March 11, 2020 - link

    There's 64 PCIe4 lanes and 8 memory controllers in there as well. Reply
  • cdome - Wednesday, March 11, 2020 - link

    Quick question. Does Graviton2 have support for SVE2 vector extension? if yes how wide are execution units? thank you Reply
  • Andrei Frumusanu - Wednesday, March 11, 2020 - link

    No, there's 2x128b v8 ASIMD/NEON pipes. Reply
  • Soulkeeper - Wednesday, March 11, 2020 - link

    What was used to generate the images on page 2 ?
    ie: https://images.anandtech.com/doci/15578/AMD-Epyc-6...

    Is this app/source available to download ?

    Thanks
    Reply
  • sharath.naik - Wednesday, March 11, 2020 - link

    Whats behind the name Annapurna? The name is Indian in origin but the company is Israeli. Reply

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