During a keynote at GTC 2016, Nvidia announced the Tesla P100, a 16nm FinFET Pascal graphics processing unit with 15.3 billion transistors intended for high performance and cloud computing customers. The GPU includes 16 GB of High Bandwidth Memory 2.0 with 720 GB/s of memory bandwidth and a unified memory architecture. It also uses the proprietary NVLink, an interconnect with 160 GB/s of bandwidth, rather than the slower PCI-Express.
Nvidia claims the Tesla P100 will reach 5.3 teraflops of FP64 (double precision) performance, along with 10.6 teraflops of FP32 and 21.2 teraflops of FP16. 3584 of a maximum possible 3840 stream processors are enabled on this version of the GP100 die.
At the keynote, Nvidia also announced a 170 teraflops (FP16) "deep learning supercomputer" or "datacenter in a box" called DGX-1. It contains eight Tesla P100s and will cost $129,000. The first units will be going to research institutions such as the Massachusetts General Hospital.
(Score: 0) by Anonymous Coward on Wednesday April 06 2016, @04:46AM
Damn, I didn't read the department line. *hangs head in shame*
(Score: 2) by bob_super on Wednesday April 06 2016, @04:40PM
Neither did I, and I thought they'd get sued by the car guys for obviously plagiarizing "Something cool and electric-powered named Tesla Pnn"
Seriously, Nvidia marketing? How much do you get paid for this?
I hereby predict that the Dual-GPU cards will be called P100D, "by accident".