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Nvidia RTX (also known as Nvidia GeForce RTX under the GeForce brand) is a professional visual computing platform created by Nvidia, primarily used in workstations for designing complex large-scale models in architecture and product design, scientific visualization, energy exploration, and film and video production, as well as being used in mainstream PCs for gaming.
On July 2, 2019, the GeForce RTX Super line of cards was announced, which comprises higher-spec versions of the 2060, 2070 and 2080. Each of the Super models were offered for a similar price as older models but with improved specs. [11] In July 2019, NVidia stated the "SUPER" graphics cards in the GeForce RTX 20 series, to be introduced, had a ...
Model – The marketing name for the processor, assigned by Nvidia. Launch – Date of release for the processor. Code name – The internal engineering codename for the processor (typically designated by an NVXY name and later GXY where X is the series number and Y is the schedule of the project for that generation).
On July 9, 2019, Nvidia released the GeForce RTX 2070 Super (TU104) & GeForce RTX 2060 Super (TU106), which includes full fixed function HEVC Main 4:4:4 12 hardware decoder. On July 23, 2019, Nvidia released the GeForce RTX 2080 Super (TU104), which includes full fixed function HEVC Main 4:4:4 12 hardware decoder.
Die shot of the TU104 GPU used in RTX 2080 cards Die shot of the TU106 GPU used in RTX 2060 cards Die shot of the TU116 GPU used in GTX 1660 cards. The Turing microarchitecture combines multiple types of specialized processor core, and enables an implementation of limited real-time ray tracing. [4]
1.32×10 15: Nvidia GeForce 40 series' RTX 4090 consumer graphics card achieves 1.32 petaflops in AI applications, October 2022 [8] 2×10 15: Nvidia DGX-2 a 2 Petaflop Machine Learning system (the newer DGX A100 has 5 Petaflop performance) 11.5×10 15: Google TPU pod containing 64 second-generation TPUs, May 2017 [9]
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