Dual NVIDIA GeForce RTX 3090 NVLink Performance Review

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NVIDIA GeForceĀ  RTX 3090 NVLink 3DMark Suite Testing

Here we will run the NVIDIA GeForceĀ  RTX 3090 SLI through graphics-related benchmarks.

NVIDIA RTX 3090 NVLink Port Royal
NVIDIA RTX 3090 NVLink Port Royal

Ray Tracing performance in Port Royal using our NVIDIA RTX 3090 dual GPU setup is staggering, nearly double the already impressive RTX 3090 cards we reviewed before.

NVIDIA RTX 3090 NVLink Time Spy
NVIDIA RTX 3090 NVLink Time Spy

Time Spy also benefited from multiple GPUs, but it did not appear to scale well. This is similar to other NVLink setups we have seen.

NVIDIA RTX 3090 NVLink Fire Strike
NVIDIA RTX 3090 NVLink Fire Strike

With Fire Strike, we found that NVlink did not help this benchmark even though it saw both GPUs.

Next, we will look at the NVIDIA RTX 3090 SLI with several Deep Learning benchmarks.

11 COMMENTS

  1. DirectX 12 supports multi GPU but has to be enabled by the developers

    NVlink was only available on the 2080 Turing cards – so only the high end SKU having it – nothing new. AMD’s solution is what again? Nothing.

    in DX11 games – dual 2080Ti were a viable 4K 120fps setup – which I ran until I replaced them with a single 3090. 4K 144Hz all day in DX11.

    I would imagine someone will put out a hack that fools the system into enabling 2 cards – even if not expressly enabled by the devs

    2 different cards is about as ghetto as it gets and shows the (sub)standards of this site – Patrick’s AMD fanboyism is the hindrance to this site – used to check every day – but now check once a week – and still little new… even the jankiest of yootoob talking heads gets hardware to review.

  2. As an aside, I hope ya’ll get a 3060 or 3080 TI to review.

    The possibility of the crypto throttler affecting other compute workloads has me very worried… and STH’s testing is very compute focused.

  3. Good review Will, ignore the fanboy whimpers any regulars knows how false his claims are.
    Next up A6000?
    Curious how close the 3090 is.

  4. Thanks for the review. It would be awesome to see how much the NVLink matters. I’m particularly interested for ML training – does the extra bandwidth help significantly, v.s. going through PCIe?

  5. One huge issue is the pricing.

    Many see the potential ML / DL Applications of the 3080 and their first idea is to stick them in Servers for professional use. The issue with that is that, in theory, this is a datacenter use of the GPU and thus violates the Nvidia Terms of Use…

    AFAIK only Supermicro sells Servers equipped with the RTX 3080… why they are allowed to do that ? IDK… considering it is supermicro, they might just not care.

    Here comes the pricing issue though. If you are offering your customers the bigger brands such as HPE and Dell EMC you are stuck with equipping your Servers with the high end datacenter GPUs such the V100S or A100 which cost 6-8 times as much as a RTX 3080 with similar ML perfomance … on paper.

    Nvidia seems to be shooting themselfes in the foot with this. In addition to making my job annoying trying to convince customers that putting a RTX 3080 into their towers should be considered a bad idea.

  6. I’ve got exactly the same 2 cards!
    What specific riser did you use? I’d like to hear your recommendation before I purchase something random ;).

  7. I have two 3090, same brand and connected with the original NVLink.
    We acquired these for a heavy weight VR application done with Unreal Engine 4.26
    We tested all the possible combinations but we couldn’t make them work together in VR. Only one GPU is taking the app. We checked with the Epic guys and they don’t have a clue. We contacted Nvidia technical support and the guys of the call center literally don’t have any page to use it against this extreme configuration We want to use one eye per GPU but it is not working. Anyone has an idea or knows something. Any help is more than welcome !!!!!

  8. One of the problems I have run into with multiple Cards is that they do not seem to increase the overall GPU memory available. I have configurations where there are 2-4 cards in the computers and when I run applications, they only seem to think that I have 12 GB of GPU memory only. Even when 2 are NVLinked. I see the processes spread out amongst the cards, but for large data files, I see that my GPU footprint increase to around 11.5 – 11.7 GB and things slow down when this happens. Thus, GPU memory seems to be the bottle neck that I have been running into (12 GB on the 3080ti and the 2080ti).

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