GIGABYTE AORUS GeForce RTX 2080 8 Go GDDR6

AORUS GeForce RTX 2080 8 Go

COOLING SOLUTION
COOLING SYSTEM

AORUS provides the all-around cooling solution for all key components of the graphics card. We take care not only GPU but also VRAM and MOSFET, to ensure a stable overclock operation and longer life. WINDFORCE STACK 3x 100mm cooling system is the most innovative cooling solution that provides the most efficient thermal performance for the graphics card.

STYLE
RGB Light Reinvented

The reinvented RGB lighting technology breaks through the traditional lighting restrictions. It can create a variety of incredible lighting effects to satisfy the visual enjoyment of each player.
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7 OUTPUTS
EXTRA 2X HDMI

AORUS provides a total of 7 video outputs compared to the reference card 5 video outputs. An additional 2 HDMI ports allow consumers to have greater flexibility when connecting to the display. You can choose 3xHDMI + 1xDP + 1xUSB-C or 3xDP + 1xHDMI + 1xUSB-C for your monitors without any adaptors.

DESIGN CONCEPT
Wings of Excellence

The falcon utilizes its powerful wings to soar through the skies and lock down its prey. The AORUS Core takes inspiration from the falcon’s aerodynamic wings, incorporating a multi-layered design which features wing shaped contours and also resembles the falcon’s high velocity ascension and dive through the skies. With sleek and metallic armor, the AORUS Core symbolizes advancement in technology with its futuristic style.

A.I.
For deep learning

GeForce RTX™ 2080 with 8G memory and 448 GB/s memory bandwidth has 2944 CUDA® Cores and hundreds of Tensor cores operating in parallel. It is the most suitable entry point for those who are developing A.I. technology. It doesn’t only offer great cost-benefits, it can also save you time due to increased throughput and efficiency.

UTILITY
Intuitive AORUS Engine

Clock speeds, voltage, fan performance, power target can be monitored and tuned in real-time according to your own preference through this intuitive interface. (*The interface and functionality of the software is subject to each model.)