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Hello,

Just wondering if there's a site that will organize GPUs by stream processors/CUDA cores so I can find the most of those mini processors for my budget.  I'd also imagine SLI/CrossFire would be a good option.

 

Thanks in advance

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The highest is the Fury X, with 4,096 stream processors. Next is Hawaii XT, with 2,816, Hawaii with 2,560, Tahiti XT with 2048, Tahiti and Tonga with 1,792, Curacao with 1,280. Those are the high-end GPUs on the AMD side.

R9 295x2 -> 5632 when/if crossfire works :P

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that's dual-GPU. I assumed OP was talking about GPU cores themselves.

and?

 

it has 2816 x 2 cores...

 

If crossfire works, it can use all of those. If not, it can use 2816 cores.....

 

basic math.

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and?

 

it has 2816 x 2 cores...

 

If crossfire works, it can use all of those. If not, it can use 2816 cores.....

 

basic math.

OP wanted to know which GPU had the most processors, not which card had the most.

 

Individual processor chips, not cards.

 

No need for math.

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And Titan X uses 3076 cuda cores.

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Yet some how the 980 Ti can match a Titan X or surpass it in benchmarks and games.

Faster clock speeds. Better power delivery and vram. Non-linear scaling with cuda cores while rops remain unchanged.

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OP wanted to know which GPU had the most processors, not which card had the most.

 

Individual processor chips, not cards.

 

No need for math.

Thank you, is there a place that lists GPUs by stream processors that you know of?  Or do I just have to click a bunch of them and compare them?

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Thank you, is there a place that lists GPUs by stream processors that you know of?  Or do I just have to click a bunch of them and compare them?

Why do you want the GPU with the most stream processors? CUDA core != GCN core. Think of it like intel vs AMD with CPU cores. And even that is not a good comparison because the speed difference changes with different tasks. Only way to pick the best GPU is by comparing benchmark scores of games you want to play.

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Why do you want the GPU with the most stream processors? CUDA core != GCN core. Think of it like intel vs AMD with CPU cores. And even that is not a good comparison because the speed difference changes with different tasks. Only way to pick the best GPU is by comparing benchmark scores of games you want to play.

I'm looking more at work and programming them to do jobs, what should I look for in a GPU then?

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I'm looking more at work and programming them to do jobs, what should I look for in a GPU then?

It depends on the API used. If you use openGL, GFLOPs are the metric to regard and AMD cards outperforms Nvidia cards usually.

On the other hand there is cuda (an nvidia only form derivative of openGL), that obviousely only run on nvidia cards. But most likely you will use openGL.

Also don't use dual GPUs as it requires a decent amount of programming skills.

Also just for learning more or less every card will do the trick. For serious number crunching, code optimisation is much more important then raw performance.

Between decent cards you a performance gab of ~factor 3. With bad memory management in the software you can easely lose factor 10 in performance for example.

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