Nvidia K80 Ram

Nvidia tesla k80 900 22080 0000 000 passive computing accelerators memory size.

Nvidia k80 ram. Nvidia s pc graphics chips may draw all the attention but supercomputing chips are driving the company s gpu technology ahead. 24gb gddr5 12gb per gpu gpu. The machine has 4 nvidia k80s setuped and the outputs of nvidia smi are the information of the 4 cards. The system configuration is given in the following.

Nvidia tesla k80 is twice as fast as tesla k40 with 2 9 tflops double precision computing power. Nvidia has paired 24 gb gddr5 memory with the tesla k80 which are connected using a 384 bit memory interface per gpu each gpu manages 12 288 mb. In the case of tesla gpus gpu boost is customized for compute intensive workloads running on clusters. 128gb k80 system and 256gb p100 system cuda version.

Nvidia tesla k80 and nvidia tesla p100 ecc on os. Fb and bar1 both have 12 g. Their gpu ids are 0 1 2 3. 4992 2496 per gpu.

Tesla k80 features two kepler gk210 duo gpus with a total of 4992 cuda cores 416 tmus and 96 rops two gpus are accompanied by 24gb gddr5 memory across dual 384 bit interface. Just don t expect it to hit your home pc any time soon. The company on monday announced an updated tesla k80 graphics. Tesla k80 is finally here.

Each k80 have two types of gpu memory. The nvidia tesla k80 accelerator dramatically lowers data center costs by delivering exceptional performance with fewer more powerful servers. Nvidia has finally unveiled its fastest professional graphics card. The gpu is operating at a frequency of 562 mhz which can be boosted up to 824 mhz memory is running at 1253 mhz 5 gbps effective.

Nvidia gpu boost is a feature available on nvidia geforce and tesla gpus that boosts application performance by increasing gpu core and memory clock rates when sufficient power and thermal headroom are available see the earlier parallel forall post about gpu boost by mark harris. 2x kepler gk210 memory bandwidth. Nvidia s new gk210 powers the upcoming k80 tesla gpu and this dual chip monstrosity should be a serious hpc behemoth. Redhat enterprise linux 7 2 64bit ram.

New brand nvidia tesla k80 4992 cuda cores 24gb gddr5 retail gpu nvidia tesla vga card memory 24gb graphic memory type gddr5 vga card interface pci e package retail lower data center costs. 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.