Nvidia Kepler K40

2 x 12 gb.

Nvidia kepler k40. To match these throughput increases we need roughly twice as much parallelism per multiprocessor on kepler gpus via either an increased number of active. Nvidia 900 22081 0040 000 tesla k40 12gb gpu pass. Most geforce 600 series most geforce 700 series and some geforce 800m series gpus were based on kepler all manufactured in 28 nm. Processor cores logical cores frequency gflops double max.

Nvidia s latest tesla accelerator is without a doubt the most powerful gpu available. Nvidia tesla k40 gpu computing processor graphic cards 900 22081 2250 000 renewed 434 96. 4 furthermore gk110 has increased memory bandwidth over fermi and gk104. Pny nvidia quadro rtx 4000 the world s first ray tracing gpu.

Nvidia tesla k40 gpu kepler 15 smx 2 880 cuda cores 745 mhz. But with that said despite the fact that k40 is just an iteration on k20 and a member of the kepler tesla family as opposed to being a new product line of its own k40 does come with one new. Pny tesla k40 passive server mod tcsk4. Nvidia tesla k40 gpu kepler 15 smx 2 880.

Nvidia t4 70w low profile pcie gpu accelerator pdf 1 2 kb nvidia hgx 2 datasheet pdf 445 kb tesla v100 for pcie datasheet pdf 379 kb tesla v100 for pcie product brief pdf 343 kb tesla p100 for pcie datasheet pdf 294 kb ngc ready systems datasheet pdf 616 kb. Nvidia 900 22081 0040 000 tesla k40 12gb. Evga 08g p4 3081 kr geforce rtx 2080 super black gaming 8gb gddr6. I made it to work with tesla k40.

I believe you can probably with an onboard graphics card only for vnc output i guess. Nvidia tesla k80 gpu kepler 2 x 13 smx 2 x 2 496 cuda cores 562 mhz. As with the kepler k20 gpus the tesla k40 supports nvidia s latest smx dynamic parallelism and hyper q capabilities cuda compute capability 3 5. Kepler was nvidia s first microarchitecture to focus on energy efficiency.

Kepler is the codename for a gpu microarchitecture developed by nvidia first introduced at retail in april 2012 as the successor to the fermi microarchitecture. This item nvidia tesla k40 gpu computing processor graphic cards 900 22081 2250 000. Nvidia tesla v100 16gb. 2 x 240 gb s.

Nvidia virtual compute server vcs provides the ability to virtualize gpus and accelerate compute intensive server workloads including ai deep learning and data science. Not sure if vnc needs a real graphics card or not though without top notch performance due to the overhead of this method.