kinski
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Has anyone ever heard of this Xeon E5 2675V3 chip?
kinski replied to StillAzure's topic in CPUs, Motherboards, and Memory
In case anyone ever wanted to know and stumbled onto this thread - these are indeed valid chips. I had them in two machines, one as VM host and one as workstation. http://valid.x86.fr/uuhsyn Extremely power efficient and cool chips. -
Time to leave the 7.
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BIOS? I upgraded to BETA jic, only have issues thusfar testing nicehash@GPU. Otherwise im on my everyday Win10 install SSD, just switched from R7 1700 -> R5 2400G
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Did you update chipset drivers? If not, then do that. https://support.amd.com/en-us/download/chipset?os=Windows+10+-+64 Took me couple hours before i thought of that.
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Benchmark: Time Spy CPU: R5 2400G GPU: Vega11 GPU Core: 1600 GPU Memory: 1466 Score: 1373 3DMark Link: https://www.3dmark.com/spy/3349729 Benchmark: Fire Strike CPU: R5 2400G GPU: Vega11 GPU Core: 1600 GPU Memory: 1466 Score: 3504 3DMark Link: https://www.3dmark.com/fs/14984577
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The hardware (20core v4 xeon, 256gb ddr4 mem, 4x1,92tb SSD, 4x v100 teslas, 1500w PSU, watercooling loop) along with warranty and validation... idk, would be a tough task to build to this price.
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I think it's meant to be something akin to Apples offerings. In the "You know it's expensive the moment you see it" sense. Some people dig the glass and clean corners, me, personally, I like the way its built, the details and parts used make sense. I'd like it to be Epyc based, though.
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Some videos about it aswell.
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It's an industrial grade validated platform, I dont think You have to worry about it overheating. There is enough ventilation there, somewhere.
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Lo and behold, you're right (Y) Stumbled onto it and since i've never heard of it before thought it's something new. edit: but i actually can't find this news in LTT, so it's actually news-worthy still
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https://www.nvidia.com/en-us/data-center/dgx-station $49,900 FOR NVIDIA DGX STATION Dive into DL with your very own personal AI supercomputer. And it's actually pretty good value... Say you're the kind of person who's interested (on professional level) in machine learning. You've got couple good options to run the really time-consuming training on cloud instances where one can spin up as many custom VMs as necessary. But, what if the stuff you're doing is something you really-really don't want/can't run outside "a box" that's either defined for you by employer or simply because it's something that You personally have time/money invested in and don't want leaving your infrastructure. Yes, you can build a box, buy the hardware - but looking at the pricing of this AND taking into account you get support and validated platform.. I think this box is well worth the money. Actually it'll pay for itself in notime if you can "train your monkeys" fast enough. In scenarios where these kinds of workloads are involved which benefit from this specific hardware, you never have enough computing power https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/dgx-station/dgx-station-infographic-volta-10232017.pdf It looks sexy af, imho.
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Have not used SSD Cache on Synology factory boxes, these have been thusfar plain HDD based for me. With the budget you have - i'd put one in anyway. If you're aiming for 10G then SSD is a must. I have an SSD in my i5 Xpenology box, but it's also got 24 gigs of ram which it's quite good at using as cache, so cant comment on any possible speedup purely because of the SSD. AFAIK SSD Cache does help in very specific scenarios
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Can't go wrong with Synology. I've used them for last 10 years and support/features have been excellent, as has the platform. Not to mention the upgrade possibilities (migrating to larger/newer model is as painless as one can hope - drop the storage into new box and thats it for me thusfar).
