Nvidia CEO Jen-Hsun Huang utilized
the opening keynote of the organization's yearly GPU Technology Conference to
declare a gigantic new processor planned particularly for profound learning.
The Tesla P100 is the principal shipping item to utilizing Nvidia's new Pascal
engineering, and is comprised of 15.3 billion transistors, which the
organization says makes it the biggest microchip ever manufactured.
The Tesla P100 is assembled
utilizing another 16nm FinFE producing process and uses 16GB of HBM2
illustrations memory which is incorporated onto the same chip substrate, which
results in memory data transfer capacity of up to 720GBps. Crest execution is
measured at 21.2 Teraflops for half-exactness directions, 10.6 Teraflops for
single-accuracy and 5.3 Teraflops for twofold exactness workloads. Up to eight
Tesla P100 chips can be interconnected utilizing Nvidia's NVLink transport.
The Tesla P100 is guaranteed to
convey more than 12x the execution of Nvidia's bygone era Maxwell engineering
in neural system preparing situations. Particular applications, for example,
the AMBER sub-atomic elements code, are said to run speedier on one Tesla P100
server hub than at 48 double attachment CPU server hubs, as indicated by
Nvidia.
Huang
likewise said that the organization has decided to "get everything on
AI", and that profound learning and man-made brainpower are the
organization's quickest developing business region. He named a few zones of
examination, including finding a cure for malignancy and comprehension
environmental change, which requires registering assets that can scale
interminably.
Massachusetts General Hospital has
set up a clinical data centre which will utilize Nvidia's AI preparing
innovation to determine ailments beginning to have the fields of radiology and
pathology, and will utilize its chronicle of 10 billion therapeutic pictures to
make a profound learning neural system.
The Tesla
P100 will at first be accessible in Nvidia's new DGX-1 "profound learning
supercomputer" in June, and servers from various makers starting in mid
2017. The DGX-1 will have eight Tesla P100 chips for a joined 170 Teraflops of
half-exactness execution, and is assured to have the capacity to convey the
profound learning throughput of 250 conventional x86 servers in a solitary 3U
server fenced in area.
Post a Comment