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Nvidia officially announced new RTX 3080, RTX 3070, RTX 3060 Ti Limited Hash Rate (LHR) SKUs on May 18, 2021, which limits the Ethash mining hash rate. [25] Nvidia released the RTX 3080 Ti on June 3, and the RTX 3070 Ti one week later, on June 10. Both included the cryptocurrency mining hash rate limiter. [26]
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).
Nvidia announced the RTX 2060 on January 6, 2019, at CES 2019. [32] On July 2, 2019, Nvidia announced the GeForce RTX Super line of cards, a 20 series refresh which comprises higher-spec versions of the RTX 2060, 2070 and 2080. The RTX 2070 and 2080 were discontinued. In February 2019, Nvidia announced the GeForce 16 series.
Nvidia GeForce RTX 2080 Ti, part of the RTX 20 series, which is the first generation of Nvidia RTX. In October 2020, Nvidia announced its plan to build the most powerful computer in Cambridge, England. The computer, called Cambridge-1, launched in July 2021 with a $100 million investment and will employ AI to support healthcare research.
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. It was introduced with the Kepler -based GeForce 600 series in March 2012 (GT 610, GT620 and GT630 is Fermi Architecture).
The Quadro line of GPU cards emerged in an effort towards market segmentation by Nvidia. [citation needed] In introducing Quadro, Nvidia was able to charge a premium for essentially the same graphics hardware in professional markets, and direct resources to properly serve the needs of those markets.
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.
In computing, CUDA (Compute Unified Device Architecture) 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.