Nvidia announced the new Tesla K80 with two GK210 GPUs. This gives it 2.9 TFlops of double precision compute performance. This is more than the AMD W9100 which only has 2.62 TFlops of double precision compute performance. Of course the AMD card is single core.
I am currently working with neural nets and I recently made my code much faster by configuring a framework correctly to make use of a GPU. The GPU that is used is a Tesla C2075, which is part of the Nvidia Tesla series.
As enabling GPU computation gave such a huge performance boost, I was curious what the latest GPU of Nvidia is.
In the recently released list of Russia’s top 50 highest performance systems, NVIDIA GPUs — for the fifth time in a row — landed in the top spot with Moscow State University’s “Lomonosov” supercomputer. Overall, GPUs power three of the top 10 and nearly one-third of the top 50 systems on the list, which is issued twice yearly.
Got a HBS (y'know, Honkin' Big Server, one o' them technical terms), a
Dell 720 with two Tesla GPUs. I updated the o/s, 6.5, and I cannot get the
GPUs recognized. As a last resort, I d/l NVidia's proprietary
driver/installer, 325, and it builds fine...
Cray's latest supercomputer will run Cray's modified version of SUSE Linux on AMD's upcoming 16-core & Interlagos& Opteron chip and Nvidia's Tesla 20-Series GPU (graphics processing unit). The XK6 system should deliver up to 50 petaflops of performance when it ships later this year, claims Cray....
It's Supercomputing SC13 week and as such NVIDIA announced today the Tesla K40 as their latest ultra high-end GPU for HPC purposes. The Tesla K40 GPU accelerator is to compete with the FirePro S10000 that was announced by AMD last week.
Hello I'm trying to install arch on a kind of supercomputer (dual cpu xeon e5 and nvidia tesla k20c).I had some troubles with UEFI so I decided for a classial MBR boot (still with GPT). For booting I need to use the option nomodeset otherwise the screen is messed up.With lspci the K20 is not listed under vga (nothing is found grepping vga), but as 3D controller.
AMD leadership in heterogeneous high performance computing (HPC) is delivering more than 3 petaFLOPS of AMD FirePro™ S9150 server GPU performance for the GSI Helmholtzzentrum für Schwerionenforschung GmbH in support of physics research related to heavy ion studies.
The just-published Green500 list of the worlds most energy efficient supercomputers shows that the top 10 systems are all powered by NVIDIA Tesla GPUs The only other architecture ever to have cleanly swept the 10 top spots on the list is IBMs legendary BlueGene system.