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On March 22, 2012, Nvidia unveiled the 600 series GPU: the GTX 680 for desktop PCs and the GeForce GT 640M, GT 650M, and GTX 660M for notebook/laptop PCs. [13] [14] 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]
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). Fab – Fabrication ...
This is a list of eponyms of Nvidia GPU microarchitectures.The eponym in this case is the person after whom an architecture is named. Listed are the person, their portrait, their profession or areas of expertise, their birth year, their death year, their country of origin, the microarchitecture named after them, and the year of release of the GPU architecture.
The final GeForce 600 series release was the GTX 650 Ti BOOST based on the GK106 core, in response to AMD's Radeon HD 7790 release. At the end of May 2013, Nvidia announced the 700 series, which was still based on the Kepler architecture, however it featured a GK110-based card at the top of the lineup.
Nvidia Fermi and Kepler GPUs in the GeForce 600 series support the Direct3D 11.0 specification. Nvidia originally stated that the Kepler architecture has full DirectX 11.1 support, which includes the Direct3D 11.1 path. [13] The following "Modern UI" Direct3D 11.1 features, however, are not supported: [14] [15]
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Photo of James Clerk Maxwell, eponym of architecture. Maxwell is the codename for a GPU microarchitecture developed by Nvidia as the successor to the Kepler microarchitecture. . The Maxwell architecture was introduced in later models of the GeForce 700 series and is also used in the GeForce 800M series, GeForce 900 series, and Quadro Mxxx series, as well as some Jetson produ
These figures represent growth over the "long term," Das said, though he did not specify a target date. The grand total adds up to a $600 billion AI-fueled market opportunity that is tied to what ...
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