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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.
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 .
For the low-end segment and OEMs, the GeForce 2 MX series (NV11) was created, from which the GeForce 2 Go was derived for laptops. In addition, the GeForce 2 architecture is used for the Quadro series on the Quadro 2 Pro, 2 MXR, and 2 EX cards with special drivers meant to accelerate computer-aided design applications.
GeForce 6100 + nForce 400 MCP61 2006 Athlon 64 X2, Athlon 64, Sempron 64 Socket AM2, 939 90 nm HT 1 GHz 1.0a 2 lanes No 6 Ports 8 Ports Rev 2.0 1 Ports UDMA 133 2 Ports 3.0 Gbit/s 100 Mbit/s HDA Onboard GeForce 6100 GeForce 6100 + nForce 405 MCP61 2006 Athlon 64 X2, Athlon 64, Sempron 64 Socket AM2, 939 1.0a 10 lanes GeForce 6150 + nForce 410
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).
Programmability aim was achieved with Kepler's Hyper-Q, Dynamic Parallelism and multiple new Compute Capabilities 3.x functionality. With it, higher GPU utilization and simplified code management was achievable with GK GPUs thus enabling more flexibility in programming for Kepler GPUs.
General-purpose computing on graphics processing units (GPGPU, or less often GPGP) is the use of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU).
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