This is a presentation that I gave at TiEcon Florida on 20 Sept 2013. I spoke about the new opportunities that are emerging for entrepreneurs caused by the disruptive innovation potential of GPU, CUDA and parallel computing technologies.

1. SHANKER TRIVEDI
Vice President, Worldwide Sales (PSG) | September 2013

2. NVIDIA
THE VISUAL COMPUTING COMPANY

3. NVIDIA Growth Drivers
~$800M / 15% CAGR~$1B / 9% CAGR ~$200M / 68% CAGR ~$2B / 32% CAGR
CUDA & GRID
20M Artists & Designers
100M PLM users
SHIELD & GRID
400M Gamers
TESLA & GRID
5-10M Servers
GPU, TEGRA & IP
Billions of Devices
PRO-VISUALIZATION
& DESIGN
GAMING HPC & BIG DATA
ANALYTICS
OEM
Revenue based on current run rates. CAGR from FY10-FY13.

4. From A Modest Beginning

5. To Almost Unbelievable Reality

6. The March of GPUs
0
50
100
150
200
250
2007
2008
2009
2010
2011
2012
GBytes/s
Peak
Memory
Bandwidth
M1060
Nehalem
3
GHz
Westmere
3
GHz
8-­‐core
Sandy
Bridge
3
GHz
Fermi
M2070
Fermi+
M2090
0
200
400
600
800
1000
1200
1400
2007
2008
2009
2010
2011
2012
Gflops/s
Peak
DP
FP
Performance
Nehalem
3
GHz
Westmere
3
GHz
Fermi
M2070
Fermi+
M2090
M1060
8-­‐core
Sandy
Bridge
3
GHz
NVIDIA
GPU
(ECC
off)
x86
CPU
Double
Precision:
NVIDIA
GPU
Double
Precision:
x86
CPU
Kepler
Kepler

7. GPUs Enable Next Generation
Graphics (with Computing)
Deferred Lighting, Depth of Field and Post-Processing | Facial Performance |
Wave and Fire Simulation | Interactive Global Illumination |
Volumetric Lighting | iRAY on CUDA

8. CPU GPU + CPU
MotionDSP – Example
Image Stabilization & Rectification

9. Aerodynamics/CFD
Electromagnetics
Satellite Imaging
Computer Vision
Video Enhancement
Signal Processing
GPU Apps Run 10x-100x Faster

10. Traditional CPU Cluster GPU Workstation
Nodes Required 12 1 (4 GPUs)
Interconnect QDR IB None
Time to complete 4.98 days 2.25 days
Power Consumption 5.7 kW (681.3 kWh) 1.0 kW (54.0 kWh)
System Cost (per day) $96,800 ($88.40) $5200 ($4.75)
Simulation Cost (681.3 * 0.18) + (88.40 * 4.98) (54.0 * 0.18) + (4.75 * 2.25)
$562.87 $20.41
AMBER 4 simultaneous simulations,
23,000 atoms, 250ns each
GPU Apps are 5-25X Cheaper To Deploy
Source: San Diego Supercomputing Center

11. Better Simulation - Toto Example

12. MEDIA & ENT. OIL AND GAS RESEARCH MANUFACTURINGGOVERNMENT
The buyer plans for including accelerators in their
next technical computing server purchase has more
than doubled from 29% to over 65% in last 20 months.
IDC Market Research
April, 2013
“
”
GPUs becoming mainstream in the Data Center
For Scientific & Technical Computing

13. CUDA Developer Momentum
2008 2013
4,000
Academic Papers
150K
CUDA Downloads
60
University Courses
100M
CUDA –Capable GPUs
1
Supercomputer
430M
CUDA-Capable GPUs
50
Supercomputers
1.6M
CUDA Downloads
640
University Courses
37,000
Academic Papers

14. Easiest Way to Learn CUDA
50K
Registered
127
Countries
$$
Learn from the Best
Anywhere, Any Time
It’s Free!
Engage with an Active Community

15. Big Data Analytics
Machine Learning
Computer Vision
Visual Shopping
Real-time
Video Delivery
Searching Audio
Analyzing Twitter
Beyond Scientific & Technical Computing

16. The New Enterprise
Mobile | BYOD | Massive Data

17. NVIDIA GRID
Virtualized GPU Servers
Visual Computing Appliances

18. Meet Ira!
The Next Generation of Visual Computing
http://www.youtube.com/watch?v=Vx0t-WJFXzo

19. Console Games Can Now Target Mobile

20. What’s the Next
Big Thing?

21. Augmented Reality

22. Healthcare

23. Autonomous Vehicles,
Drones, Robots

24. Deep Machine Learning

25. Visual Analytics of Big Data

26. GPU & CUDA
Easy & Cheap
What’s the Next Big Thing?
Augmented Reality
Autonomous Robots
Computer Vision
Deep Machine Learning
Visual Analytics
Biological Computing

28. Resources
http://www.slideshare.net/shankert/nvidia-intro-0513
http://blogs.nvidia.com/
https://www.facebook.com/gpucomputing
http://www.nvidia.com/object/race-for-better-science.html
http://www.nvidia.com/object/gpuventures.html
http://www.gputechconf.com/page/home.html
http://www.gputechconf.com/page/gtc-learning-center.html
http://www.slideshare.net/shankert/nvidia-gtc-computerecapbrochure
http://sarahtariq.com/presentations.html
http://www.slashgear.com/nvidia-shield-hands-on-with-parrot-ar-drone-2-0-26288075/
https://developer.nvidia.com/
http://www.nvidia.com/object/tesla_software.html
http://gpu.meetup.com/
http://gpgpu.org/
https://www.udacity.com/course/cs344
https://www.coursera.org/course/hetero