facebook rss twitter

EVGA doubles-up on GTX 570 memory

by Navin Maini on 21 June 2011, 13:26

Tags: EVGA

Quick Link: HEXUS.net/qa6f7

Add to My Vault: x

Boosting memory capacity is one way of differentiating your wares, and EVGA has looked to the GTX 570 to do just that.

 

 

Rather than the 1,280MB GDDR5 you'd find on a vanilla GTX 570, EVGA's new outing debuts with a total of 2,560MB - running at 950MHz (3,800MHZ effective). The GPU is clocked at 732MHz, with the shaders running at 1,464MHz. There clearly aren't any factory-fresh overclocks part of this equation.

It's also said that the PCB is an in-house design from EVGA - shorter than the reference offering from NVIDIA. The company's online store has the new GTX 570 flavour priced at just shy of $400 USD.

HEXUS Forums :: 9 Comments

Login with Forum Account

Don't have an account? Register today!
Posted by aidanjt - Tue 21 Jun 2011 13:52
Simple question…. Why?
Posted by watercooled - Tue 21 Jun 2011 14:10
Might make a difference at very high resolutions but I'd say it's probably just an e-peen thing. If this card is smaller, combined with lower power draw/noise it might be a good buy though, if the price is right.
Posted by brasco - Tue 21 Jun 2011 14:13
aidanjt
Simple question…. Why?

Undoubtedly it's just a bigger number for the less tech savvy to sell more units :rolleyes:

Having said that I regularly run out of vram when using CUDA, but that's surely too small a minority to worry about.

brasc
Posted by krazy_olie - Tue 21 Jun 2011 14:18
useful for gpgpu cuda/opencl etc

high resolution/texture quality + vsync etc.

Depends if thee is enough bandwidth to utilise it though.

Probably more of a future proofing thing really
Posted by aidanjt - Tue 21 Jun 2011 14:19
brasco
Undoubtedly it's just a bigger number for the less tech savvy to sell more units :rolleyes:
Indeed.

brasco
Having said that I regularly run out of vram when using CUDA, but that's surely too small a minority to worry about.
Yeah, at least that problem can be rectified by memory management. And nV should make compute-specific cards easier to get a hold of for hardcore CUDA users.

SEE NEWER »