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Guru3D.com » News » NVIDIA Announces Volta Powered SaturnV AI Supercomputer

NVIDIA Announces Volta Powered SaturnV AI Supercomputer

by Hilbert Hagedoorn on: 11/14/2017 10:48 AM | source: | 8 comment(s)
NVIDIA Announces Volta Powered SaturnV AI Supercomputer

NVIDIA’s new DGX SATURNV supercomputer is ranked the world’s most efficient and 28th fastest overall on the Top500 list of supercomputers released Monday.

The SATURNV supercomputer, powered by new Tesla P100 GPUs, delivers 9.46 gigaflops/watt — a 42 percent improvement from the 6.67 gigaflops/watt delivered by the most efficient machine on the Top500 list released just last June. Compared with a supercomputer of similar performance, the Camphore 2 system, which is powered by Xeon Phi Knights Landing, SATURNV is 2.3x more energy efficient. You can pick a unit up for just US$129K :-)

Nvidia -- That efficiency is key to building machines capable of reaching exascale speeds — that’s 1 quintillion, or 1 billion billion, floating-point operations per second. Such a machine could help design efficient new combustion engines, model clean-burning fusion reactors, and achieve new breakthroughs in medical research.

GPUs — with their massively parallel architecture — have long powered some of the world’s fastest supercomputers. More recently, they’ve been key to an AI boom that’s given us machines that perceive the world as we do, understand our language and learn from examples in ways that exceed our own (see “Accelerating AI with GPUs: A New Computing Model“).We’re convinced AI can give every company a competitive advantage. That’s why we’ve assembled the world’s most efficient — and one of the most powerful — supercomputers to aid us in our own work.

Assembled by a team of a dozen engineers using 124 DGX-1s — the AI supercomputer in a box we unveiled in April — SATURNV helps us build the autonomous driving software that’s a key part of our NVIDIA DRIVE PX 2 self-driving vehicle platform.

We’re also training neural networks to understand chipset design and very-large-scale-integration, so our engineers can work more quickly and efficiently. Yes, we’re using GPUs to help us design GPUs.

Most importantly, SATURNV’s power will give us the ability to train — and design — new deep learning networks quickly.



NVIDIA Announces Volta Powered SaturnV AI Supercomputer NVIDIA Announces Volta Powered SaturnV AI Supercomputer




« ASUS Announces WS X299 Series workstation-class motherboards · NVIDIA Announces Volta Powered SaturnV AI Supercomputer · AMD Rolls Out ROCm 1.7 Platform For Supercomputing 17 »

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sverek



Posts: 6070
Joined: 2011-01-02

#5492045 Posted on: 11/14/2017 10:52 AM
Finally I will be able to play smoothly on 1080p@60fps ULTRA settings

fantaskarsef
Senior Member



Posts: 14625
Joined: 2014-07-21

#5492046 Posted on: 11/14/2017 10:58 AM
Just $129K? My bank certainly will give me a loan for the other 128K I'm missing :D

ladcrooks
Senior Member



Posts: 369
Joined: 2016-12-29

#5492047 Posted on: 11/14/2017 11:03 AM
hilbert, thanks for spotting the price - ' You can pick a unit up for just US$129K :-) '

I only done 4 days work this week, but next week i will get one and let the the lads know how good it is, a review!

What games do you want tested? And will it run Photoshop and dreamweaver?

Hope it has a fully fledged instruction book, cos i think this computer maybe over my head, just a bit worried if win 10 will load properly

fantaskarsef
Senior Member



Posts: 14625
Joined: 2014-07-21

#5492058 Posted on: 11/14/2017 12:02 PM
hehe honestly, it's an easy business plan. If you can get the bank to give you the money, it will be earned in the right amount of time. Can't imagine a single super computer not running all the time, and with higher efficiency you can increase your profit margin during operation hours, I think.

pharma
Senior Member



Posts: 2264
Joined: 2003-09-10

#5492060 Posted on: 11/14/2017 12:19 PM
It's also possible to get the DGX box that has 4 Tesla V100 cards for about $69,000, and the individual PCI-E cards will be much less for home grown systems.

Sporting the new NVIDIA Tesla V100 with Tensor Core technology for $69,000 you can own a dedicated system for about the same price as 1-year of cloud instance pricing
. For example, an AWS p3.8xlarge instance with all up-front pricing is $68301 for 1-year.

https://www.servethehome.com/nvidia-dgx-station-upgraded-tesla-v100/


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