No retail packaging, includes 1 year warranty on top of the manufacturers warranty.

ASUS TUF Gaming GeForce RTX 4080 SUPER OC Edition 16GB GDDR6X

UPC: 197105436668
MPN: TUF-RTX4080S-O16G-GAMING
Brand: ASUS
Chipset Manufacturer: NVIDIA
Chipset/GPU Model: NVIDIA GeForce RTX 4080 SUPER
Memory Size: 16 GB
Memory Type: GDDR6X
Compatible Slot: PCI Express 4.0 x16
Connectors: DisplayPort 1.4a, HDMI 2.1a
Power Cable Requirement: 16-Pin PCI-E
Unit Quantity: 1
Unit Type: Unit

Alternative Models & Cross-Brand Equivalents

For buyers cross-referencing specific PC builds or motherboard QVL lists, this item shares identical core specifications with, or is a direct physical variant of, the following manufacturer part numbers:



Architecture & Compute Performance

Built on the cutting-edge NVIDIA Ada Lovelace architecture, this TUF Gaming OC edition delivers exceptional performance for enthusiasts and professionals alike. Featuring 10240 CUDA cores and a factory-overclocked boost clock of 2640 MHz, it is engineered for extreme 4K gaming and intensive AI-driven workloads.

VRAM & Memory Bandwidth

Equipped with 16GB of ultra-fast GDDR6X video memory, this card handles high-resolution textures and complex 3D environments with ease. The 256-bit memory interface and 23 Gbps memory speed ensure massive bandwidth for fluid frame rates in the most demanding titles.

Power, Cooling & Connectivity

The ASUS TUF design utilizes a massive 3.65-slot heatsink paired with three Axial-tech fans that scale up for 23% more airflow. Military-grade components and a vented exoskeleton provide structural rigidity and thermal efficiency, while the 12VHPWR connector ensures stable power delivery for the most intense gaming sessions.

Professional Grade Stability

The TUF Gaming RTX 4080 SUPER is designed for those who demand stability and longevity. With a protective metal backplate and Aura Sync RGB integration, it offers both aesthetic customization and physical protection. This card is the ideal choice for high-end gaming rigs, workstation rendering, and machine learning applications requiring consistent, high-performance output.