Nvidia Kepler Gpu
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Nvidia kepler gpu. Product name gpu chip released bus memory gpu clock memory clock shaders tmus rops. To match these throughput increases we need roughly twice as much parallelism per multiprocessor on kepler gpus via either an increased number of active. 1024 mb gddr5 128 bit. 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 partners offer a wide array of cutting edge servers capable of diverse ai hpc and accelerated computing workloads. Geforce 600 geforce gtx 645 oem. 4 the geforce gt 705 oem is a rebranded geforce gt 610 which itself is a rebranded geforce gt 520. 576 48 16.
Gk104 supports directx 12 feature level 11 0. Most geforce 600 series most geforce 700 series and some geforce 800m series gpus were based on kepler all manufactured in 28 nm. 384 32 16. As nvidia co founder and ceo jen hsun huang explained when he outed the roadmap for the kepler gpus originally slated for late 2011 and the maxwell follow ons due in 2013 nvidia is focused like a laser on performance per watt not just performance for its gpu chips.
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. For gpu compute applications opencl version 1 2 and cuda 3 0 can be used. Kepler was nvidia s first microarchitecture to focus on energy efficiency. With a die size of 294 mm and a transistor count of 3 540 million it is a medium sized chip.
4 furthermore gk110 has increased memory bandwidth over fermi and gk104. 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. It also includes 24 gb of gpu memory for training neural networks. Nvidia s gk104 gpu uses the kepler architecture and is made using a 28 nm production process at tsmc.
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. Kepler s new streaming multiprocessor called smx has significantly more cuda cores than the sm of fermi gpus yielding a throughput improvement of 2 3x per clock.