[Tom's Hardware] Nvidia Speeds up Data Center Graphics Offering With Tesla V100s - Overclock.net - An Overclocking Community

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[Tom's Hardware] Nvidia Speeds up Data Center Graphics Offering With Tesla V100s

 
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post #1 of 8 (permalink) Old 11-26-2019, 03:20 PM - Thread Starter
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[Tom's Hardware] Nvidia Speeds up Data Center Graphics Offering With Tesla V100s

Source: https://www.tomshardware.com/news/nv...rd-data-center

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Nvidia already touted its Tesla V100 as the world's most advanced data center graphics card. But now it's kicking things up a notch with the brand new, speedier Tesla V100s detailed today by TechPowerUp.

The Tesla V100s is physically identical to the V100. It adheres to a similar dual-slot, PCIe add-in card (AIC) design and employs Nvidia's reference cooler. It's unknown if Nvidia will offer the V100s in the SXM2 board form factor, however.

Like its predecessor, the Tesla V100s is based on Nvidia's current Volta microarchitecture and utilizes the gigantic GV100 silicon. The GV100 die, which comes out of TSMC's 12nm oven, measures 815 mm² and bears 21,100 million transistors. The V100s continues to sport 5,120 CUDA cores and 640 Tensor cores. Nonetheless, the new V100s does pack more performance than both variants of the V100, which is probably attributed to higher core clock speeds.

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post #2 of 8 (permalink) Old 11-26-2019, 11:04 PM
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Why that naming, can they at least properly distinguish differently performing products, we have multiple GPU clusters in production and dealing with this **** is a hot mess...

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post #3 of 8 (permalink) Old 11-27-2019, 12:46 AM
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21 billion transistors on a single die is just redonkulous
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post #4 of 8 (permalink) Old 11-27-2019, 06:39 AM
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What sucks completely for enterprise is that no one has a blower style model for the Titan RTX, the side fans make it fairly impossible to use in the datacenter. I would probably get 8 because they got 24GB vram and would perform pretty awesome for data science in a rack mounted workstation. Alas, I read many threads and people all sort of say the same thing, its clear that nvidia wants you to use their quadro gpu's(I have nothing against these and bought 4 of them, but for our purposes we could save loads of money by using the rtx titan's).

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post #5 of 8 (permalink) Old 12-01-2019, 04:03 PM
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Quote: Originally Posted by braincracking View Post
What sucks completely for enterprise is that no one has a blower style model for the Titan RTX, the side fans make it fairly impossible to use in the datacenter. I would probably get 8 because they got 24GB vram and would perform pretty awesome for data science in a rack mounted workstation. Alas, I read many threads and people all sort of say the same thing, its clear that nvidia wants you to use their quadro gpu's(I have nothing against these and bought 4 of them, but for our purposes we could save loads of money by using the rtx titan's).
You kind of answered your own question "we could save loads of money", that's exactly what they don't want you to do.

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post #6 of 8 (permalink) Old 12-01-2019, 04:12 PM
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How does MI60 stack up against this? Also, inst AMD working on Arcturus.

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post #7 of 8 (permalink) Old 12-01-2019, 05:36 PM - Thread Starter
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Quote: Originally Posted by ZealotKi11er View Post
How does MI60 stack up against this? Also, inst AMD working on Arcturus.
No reviews yet but I'm sure it will just increase the performance lead.
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post #8 of 8 (permalink) Old 12-02-2019, 12:44 PM
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Quote: Originally Posted by braincracking View Post
Why that naming, can they at least properly distinguish differently performing products, we have multiple GPU clusters in production and dealing with this **** is a hot mess...
It makes sense when there is no architectural changes. So far it seems like its just higher clock speeds. As for how they got those higher clock speeds who knows, maybe better binning. Its like saying this is the V100OC without actually saying you overclocked it.



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