Nvidia Kepler Gpus

To match these throughput increases we need roughly twice as much parallelism per multiprocessor on kepler gpus via either an increased number of active.

Nvidia kepler gpus. 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. 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. Nvidia partners offer a wide array of cutting edge servers capable of diverse ai hpc and accelerated computing workloads. Nvidia s gk104 gpu uses the kepler architecture and is made using a 28 nm production process at tsmc.

With a die size of 294 mm and a transistor count of 3 540 million it is a medium sized chip. 1024 mb gddr5 128 bit. From stunning industrial design to advanced special effects to complex scientific visualization nvidia quadro is the world s preeminent visual computing platform. 1024 mb gddr5 128 bit.

576 48 16. 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. 4 furthermore gk110 has increased memory bandwidth over fermi and gk104. Product name gpu chip released bus memory gpu clock memory clock shaders tmus rops.

Nvidia today officially announced its new 600m series of gpus which feature the company s new kepler architecture. Recommended gpu for developers nvidia titan rtx nvidia titan rtx is built for data science ai research content creation and general gpu development. Kepler was nvidia s first microarchitecture to focus on energy efficiency. Geforce 600 geforce gtx 645 oem.

Trusted by millions of creative and technical professionals to accelerate their workflows only quadro has the most advanced ecosystem of hardware software and tools to transform the disruptive challenges of today into the. The chip promises 10x the speed of intel s integrate graphics but with the size. For gpu compute applications opencl version 1 2 and cuda 3 0 can be used. It also includes 24 gb of gpu memory for training neural networks.

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. Gk104 supports directx 12 feature level 11 0. 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. 4 the geforce gt 705 oem is a rebranded geforce gt 610 which itself is a rebranded geforce gt 520.