GIGABYTE AORUS GeForce RTX 2080 8G
- Thương Hiệu GIGABYTE
Powered by GeForce RTX™ 2080
Integrated with 8GB GDDR6 256-bit memory interface
WINDFORCE Stack 3X 100mm Fan Cooling System
RGB light reinvented
7 Video Outputs
Metal Back Plate
Built for Extreme Overclocking 12+2 Power Phases
4 Years Warranty (Online registration required)
1845 MHz (Reference card: 1710 MHz)
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.
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.
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.
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.
IN EVERY ASPECT
AORUS graphics are dedicated to perfect quality. Excellent circuit design with the top-grade materials, not only maximizes the performance of the GPU, but also maintains stable and long-life operation.
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.