That sounds like awful price for a Prime mobo. You can find better options with more features in that price range.
$20 off: https://www.newegg.com/p/N82E16813144667
Below your price range and supports up to DDR5-8400.
That sounds like awful price for a Prime mobo. You can find better options with more features in that price range.$300-$400.
Those are USD prices and I'm in Canada!!That sounds like awful price for a Prime mobo. You can find better options with more features in that price range.
$20 off: https://www.newegg.com/p/N82E16813144667
Below your price range and supports up to DDR5-8400.
But it means it has better traces so it will be more stable and may let you get to lower latencies more easily. It could possibly let you use that kit at CL28 without a hair pulling tweaking experience.8400 memory support means nothing to me as I cannot run that 1:1
yes very true but may not be worth the price difference.But it means it has better traces so it will be more stable and may let you get to lower latencies more easily. It could possibly let you use that kit at CL28 without a hair pulling tweaking experience.
Oh well. Anyway, I triedRunning CL28 vs CL30 is a small gain.
This is why the Prime board is a good balance in terms of features and price. Most other boards are all over priced. The creator board you suggested is $600 CAD.Oh well. Anyway, I tried
To me, ASUS mobos look overpriced compared to the competition. That's the only reason I have only one that I bought recently (Z97 Mark 2 for $81. Coz I wanted something better for my i7-5775C than the crappy Gigabyte it is in now).
Are these training tests or inference tests?PyTorch Benchmark - OpenBenchmarking.org
openbenchmarking.org
7800X3D is the top CPU for Pytorch. No way should you go for a 9950X. 9800X3D is the answer for your workloads.
13900k's 8p+8e are (up to) 24 threads, with somewhat different performance between them, whereas 9800X3D has got 16 threads which all perform almost equally, have beefy SIMD at their disposal, and an extraordinary amount of cache, obviously. But as I said, I have no idea what is most effective in your use case.I used to have a 13900k+4090 where I found some performance improvement when using 8p+8e over 8p+0e for the Dataloader when training smaller models. Hence I'm worried that a 9800x3D would leave performance on the table, especially when using a 5090.
Are these training tests or inference tests?
Looks like inference: https://github.com/LukasHedegaard/pytorch-benchmark
@9950x's field would be training, specifically that of GPGPU-implemented models.
13900k's 8p+8e are (up to) 24 threads, with somewhat different performance between them, whereas 9800X3D has got 16 threads which all perform almost equally, have beefy SIMD at their disposal, and an extraordinary amount of cache, obviously. But as I said, I have no idea what is most effective in your use case.
BTW,dual CCX(edit) dual CCD Ryzens have greater RAM access bandwidth than single CCX Ryzens, if the workload is spread across both CCXs.
Very much appreciate the explanation, scheduling hints & techniques are new concepts to me but make a lot of sense.On dual-CCD Ryzens, as well as on Threadrippers and EPYCs, we who are active in citizen science/ scientific computing occasionally use something more targeted than "core parking": When we have multithreaded applications which heavily share data between threads, we assign CPU affinity to thread groups (usually to processes a.k.a. tasks) such that the heavy sharing is confined to a CCX ( = to a last level cache domain) which is common to this thread group. On EPYCs or/and on old Zen 2 CPUs, we also sometimes arrange for such sharing across two CCXs if we want more cores per thread group. Maybe that's what you would call micro-management, but in our case, this is set-and-forget. IOW it's trivial to set up and operate once the performance characteristics of the application are known.
We have got applications in which this nets us just a moderate percentage of performance and power efficiency gain. But we also have edge case applications in which the gain can be way up in double-digit percentages on Ryzen, or even more on EPYCs with more CCXs. This specifically happens if vector arithmetic is performed on datasets that need to be kept synchronized between threads. Without scheduling hints, the cores would wait on RAM accesses a lot and also increase task energy while doing so.
However, whether or not your use case (DL training) has got similar requirements is not known to me.
Edit, PS:
Now this raises the question: Why not use CPUs from AMD's competitor, ones which have a single cache domain per processor? The answer is of course that currently AMD's CPUs are just so much better performing and efficient in computing-heavy tasks, and AMD's splitting of larger CPUs into CCXs is one of the very reasons for this advantage of theirs. And by that I specifically mean CCXs, not even CCDs.
This does not exactly match my use case (data sample retrieval from disk with low latency) but seems promising nonetheless. I've also seen that 9800x3D achieves the best python performance which is positive.PyTorch Benchmark - OpenBenchmarking.org
openbenchmarking.org
7800X3D is the top CPU for Pytorch. No way should you go for a 9950X. 9800X3D is the answer for your workloads.
What thing do you need?This is why the Prime board is a good balance in terms of features and price. Most other boards are all over priced. The creator board you suggested is $600 CAD.
I've looked at most of the options already
The money I will save here will go into the RAM kit.
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These Asrock boards are good options will look into the cost in CAD.What thing do you need?
Have you looked at any of the ASRock boards?
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View attachment 111807
I forgot about the Kryosheet, (pad) for the CPU, I am using one on the 7900XTX, what size did you use for the 9800x3d? I used PK2 or 3 on my current cpu. Which runs hotter than any of the Ryzens. Still stay under 55 degrees.Did some tuning on my 9800X3D I just got today. Getting 5.30Ghz all-core and around 5.47 single core while running Cinebench R23. Set PPT limit to 130w, TDC at 110A, EDC at 120A. +200 manual overclock with -20 all core on curve optimizer. Max temp with a Scythe Fuma 3 using a graphite thermal pad is around 86°C. I manually limited the max temp to 90°C. Pretty happy with the performance, but is there anything else I should try or change to fully unlock the potential of this CPU?
View attachment 111824
Just a relatively inexpensive 40x40mm pad. I've reused it a couple of times now too. I do have one of those metal Thermalright AM5 CPU shims installed as well.I forgot about the Kryosheet, (pad) for the CPU, I am using one on the 7900XTX, what size did you use for the 9800x3d? I used PK2 or 3 on my current cpu. Which runs hotter than any of the Ryzens. Still stay under 55 degrees.
EDIT: I also used them Kritical thermal pads on the VRM side of my XTX, seem to be working quite well, as I have not seen over 68 degree on memory junction temps. Which have been the hottest temp according to hwinfo.
Can you link the shim please. Thank you for the link.Just a relatively inexpensive 40x40mm pad. I've reused it a couple of times now too. I do have one of those metal Thermalright AM5 CPU shims installed as well.
Can you link the shim please. Thank you for the link.
Seems like them Kritical pads have vaporwared. I used 1.0mm on my GPU memory and VRM with better than expected results. Maybe the 9800X3D will change that. I am Currently PCIE2.0
The shots are from newegg.caThese Asrock boards are good options will look into the cost in CAD.
Yes, I did and I'm still rocking W10 install after swapping from 5950X to 7600 -> 7800X3D and finally 9950X.Has anyone here been able to go from AM4 to AM5 without having to reinstall Windows 10? I am wondering what the experience was like. I would prefer to stay on Windows 10 and not have to reinstall.
Surprised that your 9950X is working like a champ on Win10finally 9950X.
Surprised that your 9950X is working like a champ on Win10
Win11 24H2 is the recommended one from AMD I think.
Maybe try on a spare SSD?I'm going to reluctantly upgrade soon, to see what's what.
try Windows 11 IoT Enterprise 24H2. Comes with way less bloatwareI'm going to reluctantly upgrade soon, to see what's what.
Other than memory timings, it seems to be pretty well setup for a 24/7 config.Did some tuning on my 9800X3D I just got today. Getting 5.30Ghz all-core and around 5.47 single core while running Cinebench R23. Set PPT limit to 130w, TDC at 110A, EDC at 120A. +200 manual overclock with -20 all core on curve optimizer. Max temp with a Scythe Fuma 3 using a graphite thermal pad is around 86°C on all cores. At the desktop, it hums along at around 46°C. I manually limited the max temp to 90°C just to make sure I didn't cook my new shiny. Pretty happy with the performance, but is there anything else I should try or change to fully unlock the potential of this CPU?
View attachment 111824
did it require you to uninstall anything or windows just rebooted a couple times due to new hardware then was fine?Yes, I did and I'm still rocking W10 install after swapping from 5950X to 7600 -> 7800X3D and finally 9950X.
No issues.