Nvidia K80 Cuda Version

Welcome to the geekbench cuda benchmark chart.

Nvidia k80 cuda version. The tesla k80 was a professional graphics card by nvidia launched in november 2014. It allows software developers and software engineers to use a cuda enabled graphics processing unit gpu for general purpose processing an approach termed gpgpu general purpose computing on graphics processing units. For more information on cuda 9 1 refer to the cuda toolkit 9 1 release notes. Starting with cuda 10 0 nvidia introduced a new forward compatible upgrade path that allows the kernel mode components on the system to remain untouched.

Recommended gpu for developers nvidia titan rtx nvidia titan rtx is built for data science ai research content creation and general gpu development. Added support for cuda 9 1. It also includes 24 gb of gpu memory for training neural networks. Nvidia inventor of the gpu which creates interactive graphics on laptops workstations mobile devices notebooks pcs and more.

To make sure the results accurately reflect the average performance of each gpu the chart only includes gpus with at least five unique results in the geekbench browser. We created the world s largest gaming platform and the world s fastest supercomputer. Nvprof would result in a failure when enumerating the topology of the system. Select target platform.

This section provides highlights of the nvidia data center gpu r 450 driver version 450 80 02 linux and 452 39 windows. The data on this chart is calculated from geekbench 5 results users have uploaded to the geekbench browser. Fixed an issue where the tesla driver would result in installation errors on some windows server 2012. Built on the 28 nm process and based on the gk210 graphics processor in its gk210 885 a1 variant the card supports directx 12.

P100 p40 k80 and or k40. For changes related to the 450 release of the nvidia display driver review the file nvidia changelog available in the run installer packages. Fixed an issue in 390 12 where cuda profiling tools e g. We are the brains of self driving cars intelligent machines and iot.

The gk210 graphics processor is a large chip with a die area of 561 mm and 7 100 million transistors. 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. Cuda toolkit 11 1 downloads. Due to an incompatibility issue we advise users to defer updating to linux kernel 5 9 until mid november when an nvidia linux gpu driver update with kernel 5 9 support is expected to be available.