nvidia dgx saturnv - images.nvidia.com · the performance of 1000 nvidia pascal™-driven tesla®...

TRANSFORMING INDUSTRIES WITH AI SUPERCOMPUTING IMPACT THE NATIONAL CANCER MOONSHOT INITIATIVE NVIDIA is teaming with the National Cancer Institute, and U.S. Department of Energy to create an AI platform for accelerating cancer research. NASA AMES GLOBAL CLIMATE CHANGE A deep learning framework for Satellite Image Classification helps safeguard our planet by using satellite imagery and DeepSAT to measure the effects of carbon and greenhouse gases on crops, vegetation, and the urban landscape. ICAHN SCHOOL OF MEDICINE The school developed ‘Deep Patient’, a tool trained on thousands of patient records using GPU accelerators to identify high-risk patients. AGRICULTURAL GROWTH NEAR QASR AL FARAFRA, EGYPT NVIDIA DGX-1 IS THE HEART AND SOUL OF DGX SATURNV To learn why visit www.nvidia.com/dgx-1 © 2016 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, Tesla, NVLink, NVIDIA Pascal and DGX-1 are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. All other trademarks and copyrights are the property of their respective owners. A LEAP FOWARD IN EXASCALE COMPUTING EFFICIENCY The DGX SATURNV taps into the compute power of 125 NVIDIA ® DGX-1 ™ server nodes to drive new levels of deep learning and AI analytics. TRADITIONAL SUPERCOMPUTER Energy Usage NVIDIA DGX SATURNV Energy Usage DGX SATURNV helps solve the world’s most difficult challenges through AI, while also being a good steward of the environment. Less energy and faster compute mean a smaller data center footprint. What once required a warehouse can now fit in the equivalent of a large conference room. The performance of 1000 NVIDIA Pascal ™ -driven Tesla ® P100 GPUs, coupled with NVIDIA’s deep learning software stack, delivers superior AI-accelerated analytics, deep learning, data processing, time to insights, and visualization of large datasets. THE WORLD’S MOST EFFICIENT SUPERCOMPUTER FOR AI AND DEEP LEARNING NVIDIA DGX SATURNV The deeper the neural network, the more abstract concepts it can learn, the more intelligent it becomes. It’s the difference between a network being able to simply identify a square versus knowing an image is a specific type of cancer cell. 001010 110101 101001 110101 001010 000010 001010 110101 101001 110101 001010 000010 001010 110101 101001 110101 001010 000010 001010 110101 101001 110101 001010 000010 001010 110101 101001 110101 001010 000010 FASTER NEURAL NETWORKS TRAINING FOR SMARTER RESULTS INTELLIGENCE TAP INTO THE WORLD'S FASTEST GPUs POWER Neural networks are the backbone of artificial intelligence, but training them takes an incredible amount of time and compute power. With GPUs, hundreds of networks can now be trained in parallel, accelerating solutions for some of the world’s hardest problems through AI. GPUs TOTAL 1 , 000 NODES 125 GPUs PER NODE 8 3.3 × 100,000,000,000,000 3.3 PETAFLOPS 1 GPU Revolutionary NVIDIA NVLink ™ high-speed bidrectional interconnect for maximum multi-GPU application 16 nanometer FinFET 3D transistors for faster performance with lower power consumption CoWoS ® with HBM2 high-bandwidth memory for 3X the bandwidth of the previous generation at lower power Performance- optimized deep learning software that accelerates all major deep learning frameworks POWERED BY NVIDIA TESLA ® P100 GPUs Built on the latest NVIDIA Pascal GPU architecture

Upload: vuongnguyet

Post on 10-Apr-2019

241 views

Category:

Documents

0 download

Report

Download

Embed Size (px):

TRANSCRIPT

Page 1: NVIDIA DGX SATURNV - images.nvidia.com · The performance of 1000 NVIDIA Pascal™-driven Tesla® P100 GPUs, coupled with NVIDIA’s deep learning software stack, delivers superior

TRANSFORMING INDUSTRIES WITH AI SUPERCOMPUTING

IMPACT

THE NATIONAL CANCER MOONSHOT INITIATIVE

NVIDIA is teaming with the National Cancer Institute, and U.S. Department of Energy to create an AI platform for accelerating cancer research.

NASA AMES GLOBAL CLIMATE CHANGE

A deep learning framework for SatelliteImage Classification helps safeguard our planet by using satellite imagery and DeepSAT to measure the effects of carbon and greenhouse gases on crops, vegetation, and the urban landscape.

ICAHN SCHOOL OF MEDICINE

The school developed ‘Deep Patient’, a tool trained on thousands of patient records using GPU accelerators to identify high-risk patients.

AGRICULTURAL GROWTHNEAR QASR AL FARAFRA, EGYPT

NVIDIA DGX-1 IS THE HEARTAND SOUL OF DGX SATURNV

To learn why visit www.nvidia.com/dgx-1

© 2016 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, Tesla, NVLink, NVIDIA Pascal and DGX-1 are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. All other trademarks and copyrights are the property of their respective owners.

A LEAP FOWARD INEXASCALE COMPUTING

EFFICIENCY

The DGX SATURNV taps into the compute power of 125 NVIDIA® DGX-1™

server nodes to drive new levels of deep learning and AI analytics.

TRADITIONALSUPERCOMPUTER

Energy Usage

NVIDIA DGX SATURNVEnergy Usage

DGX SATURNV helps solve the world’s most difficult challenges through AI, while also being a good steward of the environment.

Less energy and faster compute mean a smaller data center footprint. What once required a warehouse can now fit in the equivalent of a large conference room.

The performance of 1000 NVIDIA Pascal™-driven Tesla® P100 GPUs, coupled with NVIDIA’s deep learning software stack, delivers superior AI-accelerated analytics,

deep learning, data processing, time to insights, and visualization of large datasets.

THE WORLD’S MOST EFFICIENTSUPERCOMPUTER FORAI AND DEEP LEARNING

NVIDIA DGX SATURNV

The deeper the neural network, the more abstract concepts it can learn, the more intelligent it becomes. It’s the difference between a network being able to simply

identify a square versus knowing an image is a specific type of cancer cell.

001010110101101001

110101001010000010

001010110101101001

110101001010000010

001010110101101001

110101001010000010

001010110101101001

110101001010000010

001010110101101001

110101001010000010

FASTER NEURAL NETWORKS TRAININGFOR SMARTER RESULTS

INTELLIGENCE

TAP INTO THE WORLD'S FASTEST GPUsPOWER

Neural networks are the backbone of artificial intelligence, but training them takes an incredible amount of time and compute power. With GPUs, hundreds of networks can

now be trained in parallel, accelerating solutions for some of the world’s hardest problems through AI.

GPUsTOTAL

1,000

NODES125

GPUsPER NODE

3.3 × 100,000,000,000,0003.3 PETAFLOPS

1 GPU

Revolutionary NVIDIA NVLink™ high-speed bidrectional interconnect for maximum multi-GPU application

16 nanometer FinFET 3D transistors for faster performance with lower power consumption

CoWoS® with HBM2 high-bandwidth memory for 3X the bandwidth of the previous generationat lower power

Performance-optimized deep learning software that accelerates all major deep learning frameworks

Nvidia overview 2015 by Nvidia