Search results
Results from the WOW.Com Content Network
5 The GeForce GT 620 card is a rebranded GeForce GT 530. 6 This revision of GeForce GT 630 (DDR3) card is a rebranded GeForce GT 440 (DDR3). 7 The GeForce GT 630 (GDDR5) card is a rebranded GeForce GT 440 (GDDR5). 8 The GeForce GT 640 (OEM) card is a rebranded GeForce GT 545 (DDR3). 9 The GeForce GT 645 (OEM) card is a rebranded GeForce GTX 560 SE.
Download QR code; Print/export ... Support for PureVideo has been available in Nvidia's proprietary driver version 180 since ... GT 520MX, 510, GT 520, GT 610, GT 620 ...
The Nvidia GeForce GTX 745, 750 and 750 Ti from the 7xx desktop GPU family would not be affected by this change. In Windows the last driver to fully support CUDA with 64-Bit Compute Capability 3.5 for Kepler in Windows 7 and Windows 8.1 64-bit is 388.71, tested with latest CUDA-Z and GPU-Z, after that driver, the 64-Bit CUDA support becomes ...
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). [2] [3]
The GeForce 6 series (codename NV40) is the sixth generation of Nvidia's GeForce line of graphics processing units.Launched on April 14, 2004, the GeForce 6 family introduced PureVideo post-processing for video, SLI technology, and Shader Model 3.0 support (compliant with Microsoft DirectX 9.0c specification and OpenGL 2.0).
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).
Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!
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.