Nvidia Kepler Gpu List

Built on the turing architecture it features 4608 576 full speed mixed precision tensor cores for accelerating ai and 72 rt cores for accelerating ray tracing.

Nvidia kepler gpu list. It also includes 24 gb of gpu memory for training neural networks. Most geforce 600 series most geforce 700 series and some geforce 800m series gpus were based on kepler all manufactured in 28 nm. Introduction all nvidia gpus starting with kepler generation support fully accelerated hardware video encoding and decoding. The gpus built with fermi architecture has a maximum compute capability of 2 1 while the kepler architecture has a minimum compute capability of 3 0.

1024 mb gddr5 128 bit. 3 kepler supports some optional 11 1 features on feature level 11 0 through the direct3d 11 1 api however nvidia did not enable four non gaming features to qualify kepler for level 11 1. 720p 6mbps to 720p 2mbps. 59 60 4 the geforce gt 705 oem is a rebranded geforce gt 610 which itself is a rebranded geforce gt 520.

720p 3mbps to 720p 2mbps. 576 48 16. Geforce gtx 560 geforce gt 630 geforce gt 640. Maxwell 2 nd gen.

To promote the optimal server for each workload nvidia has introduced gpu accelerated server platforms which recommends ideal classes of servers for various training hgx t inference hgx i and supercomputing scx applications. Nvidia partners offer a wide array of cutting edge servers capable of diverse ai hpc and accelerated computing workloads. Geforce 600 geforce gtx 645 oem. Maxwell 1 st gen.

There are some geforce gpus with different architectures while having the same name. Kepler is the codename for a gpu microarchitecture developed by nvidia first introduced at retail in april 2012 as the successor to the fermi microarchitecture. Kepler was nvidia s first microarchitecture to focus on energy efficiency. Recommended gpu for developers nvidia titan rtx nvidia titan rtx is built for data science ai research content creation and general gpu development.

Using ffmpeg with nvidia gpu hardware acceleration vda 08430 001 v02 1 chapter 1. Product name gpu chip released bus memory gpu clock memory clock shaders tmus rops. The deep learning frameworks that rely on cuda for gpu computing operate by invoking cuda specific gpu accelerated deep learning methods to speed up the computation. All but nvidia g80 have mostly been validated by checking more than one website if you see any mistake let me know.

The hardware encoder and hardware decoder are referred to as nvenc and nvdec respectively in the rest of the document. First debuting in 2012 the kepler architecture powered nvidia s gtx 600 series of desktop graphics cards and notebook gpus ranging from the 600m series all the way up to the 900m series.