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The GeForce 30 series is a suite of graphics processing units (GPUs) developed by Nvidia, succeeding the GeForce 20 series.The GeForce 30 series is based on the Ampere architecture, which features Nvidia's second-generation ray tracing (RT) cores and third-generation Tensor Cores. [3]
192:32:16 0.5 1 57.7 128 6.2 25.0 601.34 Unknown 106 $129 GeForce GTX 460 SE November 15, 2010 GF104-225-A1 1950 332 650 1300 3400 6 288:48:32 1 108.8 256 7.8 31.2 748.8 Unknown 150 $160 GeForce GTX 460 October 11, 2010 GF104 7 336:56:32 1 108.8 9.1 36.4 873.6 Unknown OEM July 12, 2010 GF104-300-KB-A1 675 1350 3600 336:56:24 0.75 86.4 192 9.4
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.
The eleventh generation of PureVideo HD, introduced with the Ampere-based GeForce RTX 30 series with fifth generation NVDEC, introduces 8K@60 hardware-decoding capability for AV1 Main profile (4:0:0 and 4:2:0 chroma subsampling with 8 or 10-bit depth) with resolution of up to 8192 x 8192 pixels to the GPU's video-engine.
Nvidia NVDEC (formerly known as NVCUVID [1]) is a feature in its graphics cards that performs video decoding, offloading this compute-intensive task from the CPU. [2] NVDEC is a successor of PureVideo and is available in Kepler and later NVIDIA GPUs.
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.
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.
In computing, CUDA is a proprietary [1] 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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