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We took four GTX 980 Ti graphics cards and put them through their paces in SLI, 3-way and 4-way SLI configurations, on an overclocked Haswell-E platform, using a ton of different games and testing in 3 resolutions as well as 2 quality setting.
Just how many GTX 980 Ti’s do you need for Ultra HD gaming in Ultra Quality settings?
eTeknix has fought hard over the last few months to be able to bring you the Fiji articles that we have, some may have been a little late, but we have managed to get them out to you one way or another. Stock levels of the Fiji core and HBM have been extremely limited, so AMD had to make the tough decision to only allow an severely limited number of media samples and plumb the rest to the consumer market.
With Christmas just around the corner, what better time to treat yourself to a new graphics card? Time to put that old card to pasture and invest in a new GTX980 ti. If you fancy something really fast and expensive then the mouth watering Asus Republic Of Gamers GTX980 Ti Platinum Edition might sate your appetite. As we would expect from an Asus flagship solution, the Matrix Platinum is a complete ‘no-compromise’ design.
Here at eTeknix, we strive to give the consumer the best possible advice in every aspect of technology. Today is no different and we are excited to bring you the CrossFireX review of the highly anticipated R9 Nano 4GB graphics cards.
The R9 Nano is the third release in the Fiji GPU core range and the third official graphics card to utilise High Bandwidth Memory (HBMv1). We’ve been impressed with the performance of the Fiji range so far with the fully unlocked R9 Fury X providing a good alternative to the NVIDIA GTX 980Ti, the R9 Fury providing a good step up from the R9 390X and the GTX 980 and the R9 Nano being the perfect option for small form factor builds. A single R9 Nano provides the perfect balance of performance, power consumption and mobility, but will combining two still be a worthwhile option?
When we test in CrossFireX, we aim to use two identical graphics card to ensure that everything is as similar as possible. When using the same cards, you can almost guarantee the same cooling capabilities, power draw, core clock and other variables. This then gives us the best possible outcome for maximum performance as the computer does not need to compensate for any differences.
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