[Phoronix] AMD Ryzen Threadripper 3990X Offers Incredible Linux Performance - Page 3 - Overclock.net - An Overclocking Community
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[Phoronix] AMD Ryzen Threadripper 3990X Offers Incredible Linux Performance

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post #21 of 39 (permalink) Old 02-08-2020, 11:36 AM - Thread Starter
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Quote: Originally Posted by Kaltenbrunner View Post
Is this the 1 priced at $4000 and beats intel's $20,000 chip ?
Those expensive Intel chips actually crush AMD's higher core count Rome chips for their use case. If you actually work directly with a vendor like I do those chips are lower than Intel's MSRP. I switched my hyper-visors, GPU compute nodes and storage nodes to Epyc Rome's over the summer but for HPC we continue to buy Intel for our CPU compute nodes/research workstations.

https://insidehpc.com/2019/05/intel-...-on-resnet-50/

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post #22 of 39 (permalink) Old 02-08-2020, 12:20 PM
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Saying that your CPU has a better resnet 50 score is like saying that your GPU has better bitcoin mining hash rate.

Both are outdated by ASICs.

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post #23 of 39 (permalink) Old 02-08-2020, 12:23 PM - Thread Starter
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Quote: Originally Posted by Imouto View Post
Saying that your CPU has a better resnet 50 score is like saying that your GPU has better bitcoin mining hash rate.

Both are outdated by ASICs.

I keep seeing you spewing none sense about Intel and nVidia not being able to compete with future ASIC hardware. It seems as though you fail to realize both Intel and nVidia GPUs have dedicated hardware.

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post #24 of 39 (permalink) Old 02-08-2020, 12:38 PM
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post #25 of 39 (permalink) Old 02-08-2020, 12:46 PM - Thread Starter
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Quote: Originally Posted by Imouto View Post
I did see that, it is definitely impressive but we have no clue what nVidia's tensor core performance will be like with Ampere. If the Mi100 rumor is true just imagine Ampere.

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post #26 of 39 (permalink) Old 02-08-2020, 12:55 PM
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Quote: Originally Posted by WannaBeOCer View Post
I did see that, it is definitely impressive but we have no clue what nVidia's tensor core performance will be like with Ampere. If the Mi100 rumor is true just imagine Ampere.
Missing words: Intel

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post #27 of 39 (permalink) Old 02-08-2020, 01:02 PM - Thread Starter
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Quote: Originally Posted by Imouto View Post
Missing words: Intel
You're missing a keyword called availability. Their Cooper Lake chips training and inferencing performance will be 60% faster than their 2nd Gen scalable chips. I doubt we'll see Groq for at least 3 years with wide availability. We'll also see how they utilize Habana's knowledge.

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post #28 of 39 (permalink) Old 02-08-2020, 01:24 PM
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Quote: Originally Posted by WannaBeOCer View Post
You're missing a keyword called availability. Their Cooper Lake chips training and inferencing performance will be 60% faster than their 2nd Gen scalable chips. I doubt we'll see Groq for at least 3 years with wide availability. We'll also see how they utilize Habana's knowledge.
Oh, but that was just an example. There are plenty of machine learning accelerators already available like the Graphcore C2 (on Azure for example) and more in the way.

https://www.graphcore.ai/posts/new-g...ipu-benchmarks

There is also the tiny bit about Tesla ditching Nvidia for their custom chips (BMW is investing in Graphcore). So I really doubt that any general purpose CPU/GPU with machine learning bits have any future like no GPU will be able to match a mining ASIC.

It is a lost battle.

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post #29 of 39 (permalink) Old 02-08-2020, 01:38 PM - Thread Starter
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Quote: Originally Posted by Imouto View Post
Oh, but that was just an example. There are plenty of machine learning accelerators already available like the Graphcore C2 (on Azure for example) and more in the way.

https://www.graphcore.ai/posts/new-g...ipu-benchmarks

There is also the tiny bit about Tesla ditching Nvidia for their custom chips. So I really doubt that any general purpose CPU/GPU with machine learning bits have any future like no GPU will be able to match a mining ASIC.

It is a lost battle.
Tensor cores on nVidia's GPUs are specialized cores. They're smaller than these larger Tensor processing units. With the upcoming die shrink with 7nm nVidia can place more of these Tensor cores on their chips or make them larger. We'll see which way they go. GPUs aren't going anywhere with their training performance.

BMW, Audi, Volvo and Benz are using nVidia's Drive AGX. I'm sure Tesla ditched them due to cost since they're tiny compared to the other car manufacturers.
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post #30 of 39 (permalink) Old 02-08-2020, 01:48 PM
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Quote: Originally Posted by WannaBeOCer View Post
Tensor cores on nVidia's GPUs are specialized cores. They're smaller than these larger Tensor processing units. With the upcoming die shrink with 7nm nVidia can place more of these Tensor cores on their chips or make them larger. We'll see which way they go. GPUs aren't going anywhere with their training performance.
Because these chips can't be ported to a smaller node. Sure. There is a limited real state in each chip. Investing 15% or 20% won't ever beat investing 100%.

Quote: Originally Posted by WannaBeOCer View Post
BMW, Audi, Volvo and Benz are using nVidia's Drive AGX. I'm sure Tesla ditched them due to cost since they're tiny compared to the other car manufacturers.
Ain't that backwards? How is a smaller company able to build their own chip? And as I pointed before, BMW is investing in Graphcore. I'm quite sure Nvidia is just a stopgap for these companies like it was for Tesla.

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