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NVIDIA® GeForce RTX™ delivers the ultimate PC gaming experience. Powered by the new NVIDIA Turing™ GPU architecture and the revolutionary RTX platform, RTX graphics cards bring together real-time ray tracing, artificial intelligence, and programmable shading. This is a whole new way to experience games.
NVIDIA’s newest flagship graphics card is a revolution in gaming realism and performance. Its powerful NVIDIA Turing™ GPU architecture, breakthrough technologies, and 11 GB of next-gen, ultra-fast GDDR6 memory make it the world’s ultimate gaming GPU.
The GeForce RTX 2080 SUPER is a enthusiast-class graphics card by NVIDIA, launched in July 2019. Built on the 12 nm process, and based on the TU104 graphics processor, in its TU104-450-A1 variant, the card supports DirectX 12.0. The TU104 graphics processor is a large chip with a die area of 545 mm² and 13,600 million transistors. It features 3072 shading units, 192 texture mapping units and 64 ROPs. Also included are 384 tensor cores which help improve the speed of machine learning applications. The card also has 48 raytracing acceleration cores. NVIDIA has placed 8,192 MB GDDR6 memory on the card, which are connected using a 256-bit memory interface. The GPU is operating at a frequency of 1650 MHz, which can be boosted up to 1815 MHz, memory is running at 1937 MHz.
Being a dual-slot card, the NVIDIA GeForce RTX 2080 SUPER draws power from 1x 6-pin + 1x 8-pin power connectors, with power draw rated at 250 W maximum. Display outputs include: 1x HDMI, 3x DisplayPort, 1x USB Type-C. GeForce RTX 2080 SUPER is connected to the rest of the system using a PCI-Express 3.0 x16 interface. The card measures 267 mm in length, and features a dual-slot cooling solution.
NVIDIA TITAN RTX with NVIDIA Turing™-architecture is the ultimate graphics card. Whatever you want to do, with the TITAN RTX you'll have the compute power to achieve what you things you never thought were possible.
The TITAN RTX is equipped with 4608 CUDA-cores at a maximum 1,45Ghz clockspeed. It can deliver up to 110TFLOPS of Deep Learning compute power thanks to its 576 Tensorcores and up to 16 TFLOPS in Single Precision. All that is connected to 24GB of GDDR6 Memory.
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