• Competitor rules

    Please remember that any mention of competitors, hinting at competitors or offering to provide details of competitors will result in an account suspension. The full rules can be found under the 'Terms and Rules' link in the bottom right corner of your screen. Just don't mention competitors in any way, shape or form and you'll be OK.

AMD 7nm GPU News and Rumours 2018/2019

Caporegime
Joined
17 Feb 2006
Posts
29,263
Location
Cornwall
Our price won’t be far off.

Let’s just say come 2pm this Thursday many of your jaws will drop and you’ll be opening your wallets as we’re doing something insane and the new games bundle is AMAZING!
I imagine we're talking about people who haven't already got 290/390/480/580 level cards?

Which must be a fairly small market these days, surely...
 
Soldato
Joined
30 Jan 2012
Posts
2,503
Location
Stoke On Trent
Our price won’t be far off.

Let’s just say come 2pm this Thursday many of your jaws will drop and you’ll be opening your wallets as we’re doing something insane and the new games bundle is AMAZING!

DayZ just went Beta last week, but i kinda hope it isnt in the new bundle.. :D

Btw @Gibbo can i not sell my copy of Assassin's Creed Odyssey as it states i need to redeem on UPlay? Was there Steam codes for it when the offer started?
 
Man of Honour
Joined
13 Oct 2006
Posts
91,153
If happens, a nice upgrade over 580/590.

About GCN - I don't like it - it may be powerful for compute but AMD did best once VLIW5 ruled.

GCN isn't a problem as such (though does have some limitations in terms of reliance on fixed function systems that don't scale well and how much you can increase the number of certain systems) they keep persisting in trying to build an implementation with it for a future that never arrives.
 
Permabanned
Joined
2 Sep 2017
Posts
10,490
GCN isn't a problem as such (though does have some limitations in terms of reliance on fixed function systems that don't scale well and how much you can increase the number of certain systems) they keep persisting in trying to build an implementation with it for a future that never arrives.

I think with GCN they build not working implementations for the future that is already here. Read 4K gaming performance, 4K everything. Not to mention 8K.
4K and 8K will never happen with GCN.
 
Caporegime
Joined
18 Oct 2002
Posts
39,313
Location
Ireland
Isn't gcn limited to 64 rops? Seen a few posts a while back talking about this, apparently one of the reasons vega felt more like a reworked fury x.
 

bru

bru

Soldato
Joined
21 Oct 2002
Posts
7,360
Location
kent
So in the 'Tensorflow Resnet 50 benchmark' AMD didn't allow the competition to use their Tensor cores just because AMD don't have any and it would show their new 7nm flagship card to be rubbish in that particular benchmark.

Well that certainly seems a fair and transparent thing to do.;)
 
Permabanned
Joined
31 Aug 2013
Posts
3,364
Location
Scotland
.
So in the 'Tensorflow Resnet 50 benchmark' AMD didn't allow the competition to use their Tensor cores just because AMD don't have any and it would show their new 7nm flagship card to be rubbish in that particular benchmark.

Well that certainly seems a fair and transparent thing to do.;)

As I understand it, tensor cores are not used due to poor accuracy.
 
Soldato
Joined
26 May 2009
Posts
22,101
So in the 'Tensorflow Resnet 50 benchmark' AMD didn't allow the competition to use their Tensor cores just because AMD don't have any and it would show their new 7nm flagship card to be rubbish in that particular benchmark.
According to the article it was because enabling the tensor cores makes the results invalid due to the drop in accuracy. I.E sacrificing accuracy for speed isn't an option for the banking sector.
 
Associate
Joined
26 Apr 2017
Posts
1,255
So in the 'Tensorflow Resnet 50 benchmark' AMD didn't allow the competition to use their Tensor cores just because AMD don't have any and it would show their new 7nm flagship card to be rubbish in that particular benchmark.

Well that certainly seems a fair and transparent thing to do.;)

According to the article it was because enabling the tensor cores makes the results invalid due to the drop in accuracy. I.E sacrificing accuracy for speed isn't an option for the banking sector.

brings popcorn
 
Soldato
Joined
22 Nov 2009
Posts
13,252
Location
Under the hot sun.
So in the 'Tensorflow Resnet 50 benchmark' AMD didn't allow the competition to use their Tensor cores just because AMD don't have any and it would show their new 7nm flagship card to be rubbish in that particular benchmark.

Well that certainly seems a fair and transparent thing to do.;)

Actually is known for years now with Volta, when Tensor cores are activated the results accuracy goes down the drain.
It was especially common and potential dangerous issue, found on some protein research when the results were varying every time the calculation was run.
Same applies to Banking sector, AI etc.
On the other hand Tensor cores shine on image recognition processing.

As for Volta (TV100) performance, even on Tensor Flow matrix calculations (were Tensor cores should show their teeth), is only just 10% faster over the Vega FE and <20% over the humble Vega 64. (with ROCm 1.3, now we are on 1.9.1 and 2.0 coming out end of year). And last time we discussed about this provided you the benchmarks. :)
 
Soldato
Joined
22 Nov 2009
Posts
13,252
Location
Under the hot sun.
Btw apparently Radeon Group VP said that there won't be any DXR support until the tech is supported by whole product range.
From low end to high end.

Imho he is right to some extent. Given that we need a RTX2080Ti for 1080p @ 60fps using DXR......

Personally I am bit annoyed because Vega had DX12.1 compatible hardware, which is needed for DXR.
 
Caporegime
Joined
18 Oct 2002
Posts
32,618
.


As I understand it, tensor cores are not used due to poor accuracy.

Which is utterly BS excuse. Teh reason AMD didn;t is because their fancy Vega 20 would get annihilated in their own benchmarks.

Remember, with the original Vega AMD were hyping up how fast their fp16 compute was. Now all of a sudden it is not accurate enough, despite the thousands of deep learning researching saying otherwise. In fact, the whole industry is moving to int8
 
Caporegime
Joined
18 Oct 2002
Posts
32,618
Actually is known for years now with Volta, when Tensor cores are activated the results accuracy goes down the drain.
It was especially common and potential dangerous issue, found on some protein research when the results were varying every time the calculation was run.
Same applies to Banking sector, AI etc.
On the other hand Tensor cores shine on image recognition processing.

As for Volta (TV100) performance, even on Tensor Flow matrix calculations (were Tensor cores should show their teeth), is only just 10% faster over the Vega FE and <20% over the humble Vega 64. (with ROCm 1.3, now we are on 1.9.1 and 2.0 coming out end of year). And last time we discussed about this provided you the benchmarks. :)


Apart form all the other nonsense in this post, I have highlighted the critical part. Maybe you should go back and have another think before posting. Hint, Image ResNet is a benchmark of image recognition processing, where by your own words Tensor cores shine, so why would AMD not test fairly with Tensor cores enabled on an image processing task?
 
Back
Top Bottom