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NVIDIA GeForce GTX 1080 roundup at Computex 2016, nerd overload

There were plenty of AIB partners showing off some super-awesome GeForce GTX 1080 cards at Computex 2016 last week.

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Computex 2016 - Ugh, there were so many GeForce GTX 1080 cards at Computex 2016, that I literally had a nerd overload. NVIDIA's GeForce GTX 1080 Founder's Edition is a beautiful card on its own, but the custom design cards are... well... just so freakin' beautiful. We have a small roundup video below that you can check out.

We caught a glimpse of what MSI were showing off, some of the cards from GIGABYTE, as well as the monster GTX 1080 AMP! Extreme Edition from ZOTAC. One of the new members on the block is Colorful, which most of you have probably never heard of. Colorful is a gigantic Chinese video card maker that should be sampling us in the very near future as the first media in the world outside of China to receive a Colorful video card. I even introduced Luke from Linus Tech Tips to Colorful, as I love his work on video (and he's a super-cool guy as well), so expect some major exposure from Colorful in the future.

MSI's cards impressed me, as I have their GTX 1080 GAMING X 8G in the house right now and have been benchmarking it for days. I also have the G1 GAMING edition of GIGABYTE's GeForce GTX 1080 which will be benchmarked next week. So expect a flood of GTX 1080 reviews before AMD flings their Polaris-based offerings led by the Radeon RX 480 into the wild later this month.

NVIDIA GeForce GTX 1080 roundup at Computex 2016, nerd overload | TweakTown.com

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Anthony joined TweakTown in 2010 and has since reviewed 100s of tech products. Anthony is a long time PC enthusiast with a passion of hate for games built around consoles. FPS gaming since the pre-Quake days, where you were insulted if you used a mouse to aim, he has been addicted to gaming and hardware ever since. Working in IT retail for 10 years gave him great experience with custom-built PCs. His addiction to GPU tech is unwavering and has recently taken a keen interest in artificial intelligence (AI) hardware.

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