Search results
Results from the WOW.Com Content Network
The GeForce 10 series is a series of graphics processing units developed by Nvidia, initially based on the Pascal microarchitecture announced in March 2014. This design series succeeded the GeForce 900 series , and is succeeded by the GeForce 16 series and GeForce 20 series using the Turing microarchitecture .
OEM Card, similar to Geforce 210 GeForce 315 February 2010 GT216 486 100 475 1100 1580 48:16:4 512 12.6 DDR3 3.8 7.6 105.6 33 OEM Card, similar to Geforce GT220 GeForce GT 320 GT215 727 144 540 1302 72:24:8 1024 25.3 GDDR3 128 4.32 12.96 187.5 43 OEM Card GeForce GT 330 [55] GT215-301-A3 [56] 550 1350 96:32:8 512 32.00 128 4.40 17.60 257.3 75
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.
Download QR code; Print/export ... GTX 1080, GTX 1080 Ti, and GTX 1060 (6 GB Version) support GDDR5X. ... Nvidia GeForce driver 340.24 from 8 July 2014 supports the ...
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.
GeForce GTX 1060: GP106 VP8 H July 2016 NVIDIA TITAN Xp, TITAN X, GeForce GTX 1080 Ti: GP102 VP8 H August 2016 GeForce GTX 1050, GTX 1050 Ti: GP107 VP8 H October 2016 GeForce GT 1030, MX150: GP108 VP8 H May 2017 Tesla V100-SXM2, V100-PCIE, NVIDIA TITAN V, Quadro GV100: GV100 VP9 I November 2017 NVIDIA TITAN RTX, GeForce RTX 2080 Ti: TU102 VP10 J
Nvidia Tesla C2075. Offering computational power much greater than traditional microprocessors, the Tesla products targeted the high-performance computing market. [4] As of 2012, Nvidia Teslas power some of the world's fastest supercomputers, including Summit at Oak Ridge National Laboratory and Tianhe-1A, in Tianjin, China.
The Nvidia NVENC SIP core needs to be supported by the device driver. The driver provides one or more interfaces, (e.g. OpenMAX IL) to NVENC. The NVENC SIP core can be accessed through the proprietary NVENC API, as well as the DXVA and VDPAU [23] APIs. It is bundled with Nvidia's GeForce driver. NVENC is available for Windows and Linux ...