Nvidia K80 Cuda 10

The data on this chart is calculated from geekbench 5 results users have uploaded to the geekbench browser.

Nvidia k80 cuda 10. 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. Added support for cuda 9 1. Fixed an issue in 390 12 where cuda profiling tools e g. The nvidia tesla k80 accelerator dramatically lowers data center costs by delivering exceptional performance with fewer more powerful servers.

Welcome to the geekbench cuda benchmark chart. 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. Nvidia tesla k80 gpu computing processor 2 gpus tesla k80 24 gb overview and full product specs on cnet. It s engineered to boost throughput in real world applications by 5 10x while also saving customers up to 50 for an accelerated data center compared to a cpu only system.

Cuda cores qty. Their gpu ids are 0 1 2 3. Built on the 28 nm process and based on the gk210 graphics processor in its gk210 885 a1 variant the card supports directx 12. It also includes 24 gb of gpu memory for training neural networks.

First introduced in cuda 10 the cuda forward compatible upgrade is designed to allow users to get access to new cuda features and run applications built with new cuda releases on systems with older installations of the nvidia datacenter gpu driver. For more information on cuda 9 1 refer to the cuda toolkit 9 1 release notes. Each k80 have two types of gpu memory. The gk210 graphics processor is a large chip with a die area of 561 mm and 7 100 million transistors.

Fixed an issue where the tesla driver would result in installation errors on some windows server 2012. The machine has 4 nvidia k80s setuped and the outputs of nvidia smi are the information of the 4 cards. Nvprof would result in a failure when enumerating the topology of the system. Cuda toolkit 11 1 downloads.

All the best products. The tesla k80 was a professional graphics card by nvidia launched in november 2014. Fb and bar1 both have 12 gb. But the cuda programs always use the fb memory with the bar1 memory left be free.

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