Nvidia K80 Cuda Cores

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.

Nvidia k80 cuda cores. Unsurprisingly then nvidia is shipping k80 with only 13 of 15 smxes enabled on each gpu for a combined total of 4 992 cuda cores enabled. 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. Add to cart add to cart. Nvidia titan rtx graphics card.

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. 2x kepler gk210 memory bandwidth. Recommended gpu for developers nvidia titan rtx nvidia titan rtx is built for data science ai research content creation and general gpu development. It also includes 24 gb of gpu memory for training neural networks.

The tesla k80 was a professional graphics card by nvidia launched in november 2014. 4992 2496 per gpu. Features tesla k40 tesla k80 dynamic parallelism enables gpu threads to automatically spawn new threads. The gk210 graphics processor is a large chip with a die area of 561 mm and 7 100 million transistors.

Nvidia tesla m60 16gb server gpu accelerator processing card hp 803273 001. Built on the 28 nm process and based on the gk210 graphics processor in its gk210 885 a1 variant the card supports directx 12. Nvidia tesla v100 16gb. Nvidia tesla k80 900 22080 0000 000 passive computing accelerators memory size.

The data on this chart is calculated from geekbench 5 results users have uploaded to the geekbench browser. And nvidia offers its cuda parallel programming framework for tesla. By adapting to the data without going back to the gpu this greatly simplifies parallel programming. Hyper q allows multiple cpu cores to simultaneously use the cuda cores on a single or multiple kepler based gpus.

This puts the clockspeed at a range of 562mhz to 870mhz. This item nvidia tesla k80 24gb gddr5 cuda cores graphic cards. The nvidia tesla k80 accelerator dramatically lowers data center costs by delivering exceptional performance with fewer more powerful servers. 24gb gddr5 12gb per gpu gpu.

The chip has 4 992 processing cores. 480 gb sec 240 gb sec per gpu cuda cores.