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AMD Announces Ryzen “Zen 3” and Radeon “RDNA2” Presentations for October

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Re: AMD Announces Ryzen “Zen 3” and Radeon “RDNA2” Presentations for October

#141

Post by travisporter »

ziml77 wrote: post #50

I wonder if Zen 3 will finally let AMD pass Intel in single threaded performance. I thought they had already, but just a few days ago I checked benchmarks and saw that my 8086K still beats a 3800XT. Though maybe I'm stuck in the past a bit thinking that single threaded performance is even still important for games.

If you're referring to userbenchmark, I think you should be weary. For instance, it shows 0% improvement from a 9700K to a 10700K, and only a 4% improvement from a 7700K

https://cpu.userbenchmark.com/Compare/Intel-Core-i7-9700K-vs...

https://cpu.userbenchmark.com/Compare/Intel-Core-i7-7700K-vs...

Re: AMD Announces Ryzen “Zen 3” and Radeon “RDNA2” Presentations for October

#142

Post by bildung »

MrStonedOne wrote: post #113
newsclues wrote: post #57

Earlier quoted context omitted.

Why wouldn’t you buy a Ryzen because some epyc chips get locked?

I can't support AMD as a company as long as they are doing that on any of their products.

So what kind of CPUs do you buy, with both Intel and AMD out of the game?

Re: AMD Announces Ryzen “Zen 3” and Radeon “RDNA2” Presentations for October

#143

Post by d0mdo0ss »

I commented earlier, but figured to add some more:

I'm rooting for AMD and also looking to replace a 2012 MBP with an AMD laptop. The defacto cards for ML work seem to be NVDIA (eg their RTX line, https://timdettmers.com/2020/09/07/which-gpu-for-deep-learni...)

Does anyone know if pytorch/sci-kit might offer more support to AMD cards?

Re: AMD Announces Ryzen “Zen 3” and Radeon “RDNA2” Presentations for October

#144

Post by SloopJon »

Would an AMD event like this usually be an announcement about future products, a paper launch, or could one expect to buy one of these processors soon like? I'm looking to build a new system around an RTX 30-something. I would even consider a pre-built system if I can't get my hands on retail parts.

Re: AMD Announces Ryzen “Zen 3” and Radeon “RDNA2” Presentations for October

#145

Post by xxpor »

tmpz22 wrote: post #122
zamalek wrote: post #114

Earlier quoted context omitted.

Disclaimer: I'm personally hoping to complete my current build as a "Red Box" (AMD CPU, AMD GPU). However, facts are facts. DLSS 1.9 was impressive, but has its problems and would understandably be avoided by most gamers. DLSS 2 is a whole different story[1], and is highly likely to be something that most gamers enable. 4K/60 or 1440p/240 are the golden standards for PC gamers (depending on whether you prefer high re…

> 4K/60 or 1440p/240 are the golden standards Those are $1200+ monitors at any decent resolution. EDIT: by resolution I mean the horizontal dimension of the monitor, where pc enthusiasts typically go for 27+ inches in width which are more expensive as you scale in size, add a curve, etc.

I bought this 4k/60 monitor for $500 3 years ago:

https://www.amazon.com/gp/product/B00SHZSXVI/ref=asin_title?...

No gsync/freesync, but I wasn't intending to game on it anyway.

Re: AMD Announces Ryzen “Zen 3” and Radeon “RDNA2” Presentations for October

#146

Post by xxpor »

x86_64Ubuntu wrote: post #129
ziml77 wrote: post #41

Earlier quoted context omitted.

Even in the home, I like to consider performance-per-watt. More power draw means more heat and more heat means less comfort for much of the year.

I think you're overestimating the thermal pollution. A human is 100W-120W. The Zen 3 is about 180-220W. That pales to comparison to the cost of cooling a home where air conditioning systems have 36,000BTU or 10,000W.

Something running at 300W continuously (not that most home PC users would be in that position exactly) still uses about 220 kWh a month.

Re: AMD Announces Ryzen “Zen 3” and Radeon “RDNA2” Presentations for October

#147

Post by xxpor »

swalsh wrote: post #112
bootloop wrote: post #106

Earlier quoted context omitted.

What makes you think that PCIe is a bottleneck? You can just populate your machine with another GPU if you need more memory or cores (thanks to the PCIe bus system).

While reading about OpenGL programming, one of the first things nearly all books mention, is the cost of moving data from your system to the GPU's memory.... So I assumed that's still true, is it not? Adding more GPU's does not change things as much as reduce the problem by providing more space.

Memory bandwidth is usually the bottleneck before PCIe.

You see this effect in other things too, such as Intel NICs being able to place packets directly in L3 cache because avoiding main memory is such a huge win (for both bandwidth and latency reasons):

https://www.intel.com/content/www/us/en/io/data-direct-i-o-t...

Re: AMD Announces Ryzen “Zen 3” and Radeon “RDNA2” Presentations for October

#148

Post by argb »

MrStonedOne wrote: post #113
newsclues wrote: post #57

Earlier quoted context omitted.

Why wouldn’t you buy a Ryzen because some epyc chips get locked?

I can't support AMD as a company as long as they are doing that on any of their products.

Currently using an Ryzen at the moment, my next CPU is likely to be a used Xeon because of AMD's PSP nonsense, which has reached a new low with the EPYC CPU 'bricking'.

On the Intel chips the ME security has been cracked completely so in theory someone could write an open source ME firmware replacement, although this might require a hardware mod to bypass the signature checks.

Re: AMD Announces Ryzen “Zen 3” and Radeon “RDNA2” Presentations for October

#150

Post by jandrese »

d0mdo0ss wrote: post #140
deeeeeplearning wrote: post #115

Earlier quoted context omitted.

>gaining market dominance, both in the ML/GPGPU space Is this really the case? Last I checked all the major Deep Learning toolsets ran off CUDA/cuDNN and there was nothing comparable for AMD hardware.

anyone have some experience on this? I'm in the market for an AMD laptop capable of running standard sci-kit/pytorch/etc but these seem optimized for NVIDIA cards. I'm curious about the outlook for these trending AMD cards.

Generally if you want to do ML tasks you want nVidia. They put the work in early to build the tooling so now the default assumption is that you're on nVidia hardware. It is possible to do some stuff on AMD cards, but you'll be on the cutting edge for that platform re-solving problems that were already solved on the nVidia side.
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