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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 May 2016 Nvidia announced that the GeForce 10 series would feature a new SLI HB (High Bandwidth) bridge; this bridge uses 2 SLI fingers on the PCB of each card and essentially doubles the available bandwidth between them. Only GeForce 10 series cards support SLI HB [22] [23] and only 2-way SLI is supported over this bridge for single-GPU ...
The vast majority of Intel server chips of the Xeon E3, Xeon E5, and Xeon E7 product lines support VT-d. The first—and least powerful—Xeon to support VT-d was the E5502 launched Q1'09 with two cores at 1.86 GHz on a 45 nm process. [2] Many or most Xeons subsequent to this support VT-d.
GeForce FX 5700 2003 AGP 8x 425 250 1,700 1,700 1,700 318.7 8.0 128 29.7 20 GeForce PCX 5750 March 17, 2004 PCIe x16 128 25 GeForce FX 5700 Ultra October 23, 2003 AGP 8x 475 453 1,900 1,900 1,900 356.2 128 256 14.4 GDDR2 33.2 43 GeForce FX 5700 Ultra GDDR3 March 15, 2004 475 15.2 GDDR3 38 GeForce FX 5800 January 27, 2003 NV30 125 [23] 199 400 400
The Nvidia Quadro Plex is an external graphics processing unit (Visual Computing System) designed for large-scale 3D visualizations. The system consists of a box containing a pair of high-end Nvidia Quadro graphics cards featuring a variety of external video connectors.
It was also in the GeForce 405 and in the Quadro FX, Quadro x000, Quadro NVS series, and Nvidia Tesla computing modules. Tesla replaced the old fixed-pipeline microarchitectures, represented at the time of introduction by the GeForce 7 series.
Same chipset as nForce4 SLI but with some resistors removed thus disabling SLI nForce4 SLI CK8-04 October, 2004 Athlon 64 FX, Athlon 64 X2, Athlon 64, Sempron 64 Socket AM2, 939, 754 HT 1 GHz 1.0a 20 lanes x8+x8 6 Ports 10 Ports Rev 2.0 2 Ports UDMA 133 4 Ports 3.0 Gbit/s 1000 Mbit/s AC'97 2.3 nForce4 SLI X16 Crush51 + CK8-04 November, 2005
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.