NVIDIA's flagship GeForce GTX 1080 is the most advanced gaming GPU ever created. Powered by the new NVIDIA Pascal™ architecture, this breakthrough GPU delivers industry-leading performance, innovative new gaming technologies, and immersive, next-gen VR.
The GeForce GTX 1080 is a quantum leap in performance and power efficiency. It’s built using ultra-fast FinFET and high-bandwidth GDDR5X technologies, and supports DirectX 12 features for the fastest, smoothest, most power-efficient gaming experiences.
Next-Gen Gaming Technologies
GeForce GTX 1080 uses the power of Pascal to meet the demands of the latest displays, including VR, ultra-high-resolution, and multiple monitors. It features NVIDIA GameWorks™ technologies for smooth gameplay and cinematic experiences, as well as revolutionary 360-degree image capture, even in VR.
Boost Clock / Base Clock 1733 MHz / 1607 MHz
8192 MB GDDR5X 10010 MHz Memory
Video Output Function
Dual-link DVI-D x 1
DisplayPort x 3
HDMI x 1
Virtual Reality Ready
Asus ROG STRIX Z370-I GAMING
Intel Core i7-8700K
Nvidia GTX 1080 GDDR5X Founders Edition
Samsung 960 Pro NVMe PCIe M.2 512GB
SanDisk Extreme Pro 240GB
WD Green 3TB
Kingston HyperX DDR4 3000 C15 2x8GB
Corsair Hydro H60 (2018) CPU Cooler
Be Quiet Pure Power 10 CM 600W
Corsair Obsidian 250D Mini ITX Case
Case Performance results: http://www.userbenchmark.com/UserRun/9437006
The GeForce GTX 1070 Founders Edition is based on the same GPU as Nvidia's GeForce GTX 1080, only with 25% of its CUDA cores and texture units disabled. Though, the processor's back-end still serves up 64 ROPs and 2MB of L2 cache. Also, GDDR5X memory is replaced with standard GDDR5, while the 1070 sports a less sophisticated cooling solution and a lower power target of 150W.
The Founders Edition board is actually what Nvidia used to call its reference design. This time around, however, the company decided it wanted a piece of the premium card sales as well. Renaming its own offering is supposed to help sidestep the negative connotation that sometimes accompanies reference implementations.