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The GeForce 20 series is a family of graphics processing units developed by Nvidia. [8] Serving as the successor to the GeForce 10 series, [9] the line started shipping on September 20, 2018, [10] and after several editions, on July 2, 2019, the GeForce RTX Super line of cards was announced.
On April 29, 2012, the GTX 690 was announced as the first dual-GPU Kepler product. [15] On May 10, 2012, the GTX 670 was officially announced. [16] On June 4, 2012, the GTX 680M was officially announced. [17] On August 16, 2012, the GTX 660 Ti was officially announced. [18] On September 13, 2012, the GTX 660 and GTX 650 were officially ...
GeForce GTX 275 April 9, 2009 GT200-105-B3 TSMC/UMC 55 nm 470 633 1404 2.268 240:80:28 896 (1792) 127.0 17.724 50.6 674 219 Effectively one-half of the GTX 295 $250 GeForce GTX 280 June 17, 2008 GT200-300-A2 65 nm 576 602 1296 2.214 240:80:32 1024 141.7 512 19.264 48.16 622 236 Replaced by GTX 285 $650 (dropped to $430 after 3 months [54])
The GeForce 16 series is a series of graphics processing units (GPUs) developed by Nvidia, based on the Turing microarchitecture, announced in February 2019. [5] The 16 series, commercialized within the same timeframe as the 20 series, aims to cover the entry-level to mid-range market, not addressed by the latter.
The RTX 4090 was released as the first model of the series on October 12, 2022, launched for $1,599 US, [1] and the 16GB RTX 4080 was released on November 16, 2022 for $1,199 US. An RTX 4080 12GB was announced in September 2022, originally to be priced at $899 US, however following some controversy in the media it was "unlaunched" by Nvidia.
Due to production problems surrounding the RTX 30-series cards and a general shortage of graphics cards due to production issues caused by the ongoing COVID-19 pandemic, which led to a global shortage of semiconductor chips, and general demand for graphics cards increasing due to an increase in cryptocurrency mining, the GTX 1050 Ti, alongside the RTX 2060 and its Super counterpart, [19] was ...
Nvidia NVENC (short for Nvidia Encoder) [1] is a feature in Nvidia graphics cards that performs video encoding, offloading this compute-intensive task from the CPU to a dedicated part of the GPU.
In computing, CUDA is a proprietary [2] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs.
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