health innovation driven by computingdlmia2/nvidia_miccai_2016.pdf6 11/2013 9/2014 7/2015 12/2015 12...
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HEALTH INNOVATION DRIVEN BY COMPUTING
Abdul Hamid Al Halabi
WW Business Development Lead,
Healthcare & Life Sciences MICCAI - 2016
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AI IS EVERYWHERE
Transportation Healthcare Society
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DEEP LEARNING ACROSS HEALTHCARE
Life Sciences & Drug Development
Genomics Medical Imaging & Electronic Health Records
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NVIDIA DGX-1 AI Supercomputer-in-a-Box
170 TFLOPS | 8x Tesla P100 16GB | NVLink Hybrid Cube Mesh
2x Xeon | 8 TB RAID 0 | Quad IB 100Gbps, Dual 10GbE | 3U — 3200W
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Instant productivity — plug-and-play, supports every AI framework Performance optimized across the entire stack Always up-to-date via the cloud Mixed framework environments —containerized Direct access to NVIDIA experts
DGX STACK Fully integrated Deep Learning platform
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NVIDIA DIGITS Interactive Deep Learning GPU Training System
Test Image
Monitor Progress Configure DNN Process Data Visualize Layers
developer.nvidia.com/digits
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DIGITS FOR MEDICAL IMAGING
DETECTION SEGMENTATION CLASSIFICATION
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FUTURE OF DEEP LEARNING
Complex Architectures Data Real Time Everywhere
10 NVIDIA CONFIDENTIAL. INTERNAL USE ONLY.
GPU Roadmap SG
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2012 2014 2008 2010 2016
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2018
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Tesla Fermi
Kepler
Maxwell
Pascal Mixed Precision 3D Memory NVLink
Volta
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CUDA BOOSTS DEEP LEARNING PERFORMANCE 5X IN 2 YEARS
Perf
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AlexNet training throughput based on 20 iterations, CPU: 1x E5-2680v3 12 Core 2.5GHz. 128GB System Memory, Ubuntu 14.04
Caffe Performance
K40
K40+cuDNN1
M40+cuDNN3
M40+cuDNN4
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11/2013 9/2014 7/2015 12/2015
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DEEP LEARNING PERFORMANCE 60X IN 3 YEARS P
erf
orm
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AlexNet training throughput on: CPU: 1x E5-2680v3 12 Core 2.5GHz. 128GB System Memory, Ubuntu 14.04 M40 bar: 8x M40 GPUs in a node, P100: 8x P100 NVLink-enabled
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Second level
Click to edit Master text styles DEEP LEARNING EMPOWERING HEALTHCARE See the latest AI research in healthcare - from genomics and medical imaging to drug discovery. You’ll learn about the state of the art deep learning techniques used in healthcare.
October 26 – 27, 2016 | Washington D.C.
JOEL DUDLEY
MOUNT SINAI
Associate Professor and Director
RONALD SUMMERS
NIH RADIOLOGY
Senior Investigator & Director
Andrew Beck
Harvard
Associate Professor & Director
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May 8 - 11, 2017 | Silicon Valley | #GTC17 www.gputechconf.com
CONNECT
Connect with technology experts from NVIDIA and other leading organizations
LEARN
Gain insight and valuable hands-on training through hundreds of sessions and research posters
DISCOVER
See how GPU technologies are creating amazing breakthroughs in important fields such as deep learning
INNOVATE
Hear about disruptive innovations as early-stage companies and startups present their work
Don’t miss the world’s most important event for GPU developers May 8 – 11, 2017 in Silicon Valley
JOIN THE ACTION! PRESENT A TALK, LAB OR POSTER AT GTC 2017. APPLY AT WWW.GPUTECHCONF.COM
Submission Deadlines:
Talks: November 20, 2016
Posters: January 15, 2017
