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NVIDIA Corporation Brochure: Who We Are
2
SUPERCHARGED COMPUTING
FOR THE DA VINCIS AND
EINSTEINS OF OUR TIME
Twenty-five years ago, we set out to
transform computer graphics.
Fueled by the massive growth of the
gaming market and its insatiable
demand for better 3D graphics, we’ve
evolved the GPU into a computer brain
at the intersection of virtual reality,
high performance computing, and
artificial intelligence.
NVIDIA GPU computing has become
the essential tool of the da Vincis
and Einsteins of our time. For
them, we’ve built the equivalent
of a time machine.
Image: Scientists using GPU
computing were able to “see”
gravitational waves for the
first time in human history.
3
A SUPERCHARGED LAW
For 30 years, the dynamics of Moore’s
law held true. But CPU performance
scaling has slowed. GPU computing is
defining a new, supercharged law. It
starts with a highly specialized parallel
processor called the GPU and continues
through system design, system software,
algorithms, and optimized applications.
The world is jumping on board — today,
there are some 800,000 GPU developers.
4
THE EPICENTER
OF GPU
COMPUTING
GTC is ground zero of the GPU
computing movement. This year’s
flagship event was a four-day gathering
of 8,300 registered attendees who were
offered more than 600 technical
sessions. Three hundred reporters and
analysts experienced first-hand NVIDIA’s
lineup of announcements. Now a global
tour, GTCs are held around the world,
from Washington to Munich to Tokyo.
5
NVIDIA DEFINES MODERN
COMPUTER GRAPHICS
Our invention of the GPU in 1999 made real-time programmable
shading possible, giving artists an infinite palette for expression. This
year, the introduction of NVIDIA RTX™ ray-tracing technology fulfilled
another vision of computer scientists, paving the way to new
levels of art and realism in real-time graphics.
We’ve led the field of visual computing for decades.
6
A GIANT LEAP IN
COMPUTER GRAPHICS
Real-time ray tracing has been the dream
of computer scientists since it was first
described nearly 40 years ago. NVIDIA RTX
technology — a platform for real-time ray
tracing — has brought it to life. Coupled
with the Quadro® GV100, RTX is the
greatest advance in computer graphics of
the past 15 years, since our introduction
of the programmable shader. NVIDIA has
reinvented computer graphics, again.
7
CREATING
AMAZING
WORLDS
Today’s blockbuster games are essentially
big budget Hollywood films — artists work on
titles for years, production value is a point
of competition, and expectations are high.
NVIDIA GPUs are the engines that make
these games possible. NVIDIA GameWorks™
software allows developers to make games
more photorealistic and immersive. And
NVIDIA Ansel™ allows gamers to capture
stunning in-game photography. Here, a
scene from Hellblade: Senua’s Sacrifice.
8
GEFORCE — THE
WORLD’S LARGEST
GAMING PLATFORM
Gaming is the world’s largest
entertainment industry. With 200
million gamers, NVIDIA GeForce®
is its largest platform. GeForce GTX
GPUs and the GeForce Experience™
application transform everyday PCs
into powerful gaming machines.
9
HIGH-END PC GAMING
FOR EVERYONE
One day, everyone will be a gamer.
NVIDIA GeForce NOW™ is a cloud-based
service that turns Macs and everyday
PCs into virtual GeForce gaming
machines, opening high-end gaming
and blockbuster PC titles to millions
of users for the first time.
10
NVIDIA IS REVOLUTIONIZING
COMPUTING
In 2006, the creation of our CUDA® programming model and Tesla®
GPU platform opened up the parallel-processing capabilities of
the GPU to general-purpose computing.
A powerful new approach to computing was born.
11
POWERING THE WORLD’S
FASTEST SUPERCOMPUTERS
GPU computing is the most accessible
and energy-efficient path forward for
HPC and datacenters. Today, NVIDIA
powers the fastest supercomputers in
the U.S. and Europe, as well as some
of the most advanced systems under
construction.
Japan’s ABCI will come online in
2018 as the country’s most powerful
supercomputer and a global
innovation platform for AI. And in
the U.S., Lawrence Livermore and
Oak Ridge National Labs will soon
introduce next-generation
NVIDIA-accelerated systems.
12
ACCELERATING THE CODES
OF SCIENTIFIC DISCOVERY
NVIDIA has been developing the CUDA
programming model for over a decade.
Today, it’s the platform of choice
for high-performance application
developers, with support for more
than 500 applications — including the
top 15 HPC applications. From weather
prediction and materials science to wind
tunnel simulation and genomics, NVIDIA
GPU computing is at the heart of HPC’s
most promising areas of discovery.
13
POWERING
NOBEL PRIZE
WINNERS
NVIDIA GPU computing played a role in
two Nobel Prize-winning discoveries in
2017. The prize for physics was awarded
to a team of scientists who detected
gravitational waves for the first time
in human history. And the prize for
chemistry was awarded for work in
cryogenic electron microscopy, which
allows scientists to see detailed protein
structures at the atomic level (pictured).
14
NVIDIA IGNITES
THE AI BIG BANG
Artificial intelligence is the use of computers to simulate human intelligence.
AI amplifies our cognitive abilities — letting us solve problems where the
complexity is too great, the information is incomplete, or the details are
too subtle and require expert training.
Learning from data — a computer’s version of life experience — is how AI
evolves. GPU computing powers the computation required for deep neural
networks to learn to recognize patterns from massive amounts of data.
This new, supercharged mode of computing sparked the AI era.
15
THE ERA OF AI
The PC revolution put a computer
in every home. The mobile era put
a computer in every pocket. The cloud
turned every mobile device into a
supercomputer. The AI era will infuse
intelligence into trillions of computing
devices and be the single largest
opportunity the industry has ever
known. AI will spur a wave of
social progress unmatched since
the industrial revolution.
PC
MOBILE
CLOUD
AI
16
NVIDIA is advancing GPU computing
for deep learning and AI at the speed of
light. We create the entire stack. It
starts with the most advanced GPUs and
the systems and software we build on
top of them. We integrate and optimize
every deep learning framework. We
work with the major systems companies
and every major cloud service provider
to make GPUs available in datacenters
and in the cloud. And we create
computers and software to bring AI to
the edge, from self-driving cars to
autonomous robots to medical devices.
ONE ARCHITECTURE
POWERING THE
AI REVOLUTION
17
VOLTA
EVERYWHERE
Volta, the world’s most powerful GPU
computing architecture, was built to
drive the next wave of AI and HPC.
Every major cloud service provider
offers Volta instances, and every major
computer maker offers Volta-based
servers for on-premise datacenters. At
GTC 2018, we supercharged the NVIDIA
AI platform with the announcement of
a “double-sized” 32GB Volta GPU.
EVERY COMPUTER MAKEREVERY CLOUD
18
THE LARGEST GPU
IN THE WORLD
AI holds enormous promise, but it
requires a massive amount of computing
power. NVIDIA DGX-2™ is the first single
server capable of delivering 2 petaflops
of computational power — enough to
replace 300 dual-CPU servers in today’s
hyperscale datacenters.
DGX-2 features NVSwitch™, a
revolutionary GPU interconnect fabric
that enables its 16 Tesla V100 GPUs to
simultaneously communicate at a record
speed of 2.4 terabytes per second.
Programming DGX-2 is like programming
“the largest GPU in the world.”
19
VOLTA
TAKES SATURNV
TO NEW HEIGHTS
NVIDIA’s own SATURNV is one of the
most powerful AI supercomputers in the
world. It’s also the fourth most energy
efficient, based on the November 2017
Green500 list of supercomputers.
SATURNV is powered by 5,280
Volta GPUs, giving it a previously
unimaginable FP16 performance
of more than a half an exaflops
on AI workloads.
20
A CAMBRIAN
EXPLOSION OF AI
Since AlexNet, thousands of neural
network models have emerged. With
hundreds of layers and billions of
parameters, their complexity has soared
by 500X in just 5 years.
The hyperscale datacenters that host
them serve billions of people, cost
billions to operate, and are among the
most complex computers in the world.
Maintaining them demands a balance of
important factors: programmability,
latency, accuracy, size, throughput,
energy efficiency, and rate of learning.
CONVOLUTIONAL
NETWORKS
RECURRENT
NETWORKS
GENERATIVE ADVERSARIAL
NETWORKS
REINFORCEMENT LEARNING NEW SPECIES
Encoder/Decoder ReLu BatchNorm
Concat Dropout Pooling
LSTM GRU Beam Search
WaveNet CTC Attention
3D-GAN MedGAN ConditionalGAN
Coupled GAN Speech
Enhancement GAN
DQN Simulation DDPG Mixture of Experts Neural
Collaborative
Filtering
Block Sparse
LSTM
Capsule Nets
21
TRILLIONS OF
INTELLIGENT
THINGS
The programmable NVIDIA platform is
designed for the complex universe of AI
development and deployment.
TensorRT™ 4, the latest version of our
inference software, is integrated into
Google’s popular TensorFlow framework.
Kaldi, the most popular framework for
speech recognition, is now optimized for
GPUs. And Kubernetes on NVIDIA GPUs
allows orchestration of resources across
multi-cloud GPU clusters. Hyperscale
datacenters can save big money with
NVIDIA inference acceleration.
22
NVIDIA GPU CLOUD
— ONE PLATFORM,
RUN EVERYWHERE
The NVIDIA GPU Cloud registry gives
developers access to GPU-optimized
software stacks wherever they want it —
on PCs, in the datacenter, or via the
cloud. There are some 30 GPU-optimized
containers for deep learning, HPC,
HPC visualization, and analytics.
23
AI IS REVOLUTIONIZING
EVERY INDUSTRY
The AI race is on. Deep learning breakthroughs no longer come from
scientific and research labs alone. Today, in trillion-dollar industries like
transportation, healthcare, and manufacturing, companies are using AI
to transform the ways they do business. Self-driving cars, intelligent
medical imaging systems, and autonomous factory robots have moved
quickly from ideas to reality. And it’s only the beginning.
24
REVOLUTIONIZING
TRANSPORTATION
Transportation is a $10 trillion industry.
Autonomous vehicles will change it
forever, making our roads safer and our
cities more efficient. More than 370
companies are using NVIDIA technology
in their datacenters and vehicles. They
range from car companies and suppliers,
to mapping and sensor companies, to
startups and research organizations.
25
NVIDIA DRIVE —
FROM TRAINING
TO SAFETY
Building an autonomous car is an
extraordinary endeavor. To train the
network, data from all over the world,
covering every road condition, needs to
be collected and labeled and fed into a
DGX supercomputer. Simulation is used
to expand the training set as well as
cover dangerous or extreme scenarios
that can’t be captured on the road. The
trained model is deployed on an in-car
supercomputer, where it can tap into a
sophisticated software stack covering
everything from pedestrian detection to
driver monitoring. At every step of the
way, the most stringent standards
are applied to ensure that safety
is paramount.
Cars Pedestrians Path
Lanes Signs Lights
Cars Pedestrians Path
Lanes Signs Lights
1. COLLECT & PROCESS DATA 2. TRAIN MODELS
3. SIMULATE 4. DRIVE
26
SIMULATION — THE ROAD
TO SAFE SELF-DRIVING CARS
Each year, 10 trillion miles are driven
around the world. Test cars can
eventually cover millions of miles,
but we’ll need billions to create
safe and reliable self-driving cars.
NVIDIA DRIVE Constellation allows
cars to drive billions of miles in
virtual reality. Constellation consists
of two different GPU servers. The
first simulates the environment and
what is detected by the car’s many
sensors — cameras, radar, and lidar.
The second is the NVIDIA DRIVE™ Pegasus
AI car computer that runs the complete
AV software stack and processes the
simulated detected data as if it were
coming from a real car.
27
REVOLUTIONIZING
HEALTHCARE
AI is transforming the spectrum of
healthcare, from detection to diagnosis
to treatment. The NVIDIA AI platform
is the driving force. GE Healthcare
has reinvented the CT, doubling image
processing speeds by embedding
GPU-powered AI in its new Revolution
Frontier CT scanner. Nuance is helping
radiologists use AI to speed their
analysis of medical imaging by making
pre-trained algorithms and vast imaging
datasets available to them directly
via its AI Marketplace.
28
PROJECT CLARA —
A MEDICAL IMAGING
SUPERCOMPUTER
Early detection is the most powerful
weapon to treat disease. The latest
breakthroughs of AI and computational
imaging can help, but only if put into
the hands of doctors using the 3 million
medical instruments built a decade ago.
Project Clara, NVIDIA’s medical imaging
supercomputer in the cloud, can do just
that. With Clara, existing instruments
will be supercharged with state-of-the-
art image reconstruction, object
detection and segmentation, and
visualization capabilities.
PROJECT
CLARA
IMAGING AND VISUALIZATION APPS
CUDA | CUDNN | TENSORRT | OGL | RTX
GPU CONTAINERS | VGPU
NVIDIA GPU SERVER
29
REVOLUTIONIZING
MANUFACTURING
AND LOGISTICS
Deep learning and affordable sensors
have created the conditions for “the
automation of automation.” NVIDIA
Jetson™ TX2 delivers 1 teraflops of
performance in a credit card-sized
module. Such power will enable a
new wave of manufacturing, drones
that can inspect hazardous places,
and robots that can deliver the millions
of packages shipped every day.
30
NVIDIA ISAAC —
WHERE ROBOTS
GO TO LEARN
The next chapter of AI is autonomous
machines. We created a robotics
platform called NVIDIA Isaac to
accelerate the development and
deployment of robotics across a
broad range of industries.
The Isaac SDK performs the important
functions of robotics — perception,
localization, navigation, and
manipulation. Isaac Sim is a virtual
reality simulator where roboticists
can create and train robots.
Drop the software created in
Isaac Sim into a robot with the
Isaac SDK, and an intelligent
machine is born.
31
NVIDIA —
A LEARNING
MACHINE
NVIDIA has continuously reinvented
itself over two decades.
Our invention of the GPU in 1999
sparked the growth of the PC gaming
market, redefined modern computer
graphics, and revolutionized parallel
computing. More recently, GPU
computing ignited the era of AI.
NVIDIA is a “learning machine”
that constantly evolves by adapting
to new opportunities that are hard
to solve, that only we can tackle,
and that matter to the world.
GRAPHICS
HPC
AINobel Prize Winning Cryo-EM
32
OPERATING AT
THE SPEED OF LIGHT
NVIDIA is united by a unique culture —
the operating system of our learning
machine.
We dream big. We take risks. We learn
from our mistakes together. Speed and
agility are the keys to our success.
Craftsmanship is a discipline and
passion. There are no org charts — the
project is the boss.
These beliefs inform everything we do,
from designing amazing products to
building one of the world’s great
companies — a place where people can
to do their life’s work.
33
NVIDIA’s people share a strong sense of
corporate responsibility. Our
philanthropic giving exceeded $6 million
in 2017. To date, our NVIDIA
Foundation’s Compute the Cure
initiative has directed more than
$4 million to the fight against cancer.
And our Techsplorer program, which
introduces underserved youth to AI, has
reached more than 5,800 students since
it launched in 2017.
INSPIRED TO GIVE TO
OUR COMMUNITIES
34
Founded in 1993 | Jensen Huang, Founder & CEO | 12,000 employees | $9.7B in FY18
“World’s Best
Performing CEOs”
— Harvard Business Review
“World’s Best CEOs”
— Barron’s
“Employees’ Choice:
Highest Rated CEOs”
— Glassdoor
“World’s Most
Admired Companies”
— Fortune
“Most Innovative
Companies”
— Fast Company
“50 Smartest
Companies”
— MIT Tech Review
NVIDIA Corporation Brochure: Who We Are

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NVIDIA Corporation Brochure: Who We Are

  • 2. 2 SUPERCHARGED COMPUTING FOR THE DA VINCIS AND EINSTEINS OF OUR TIME Twenty-five years ago, we set out to transform computer graphics. Fueled by the massive growth of the gaming market and its insatiable demand for better 3D graphics, we’ve evolved the GPU into a computer brain at the intersection of virtual reality, high performance computing, and artificial intelligence. NVIDIA GPU computing has become the essential tool of the da Vincis and Einsteins of our time. For them, we’ve built the equivalent of a time machine. Image: Scientists using GPU computing were able to “see” gravitational waves for the first time in human history.
  • 3. 3 A SUPERCHARGED LAW For 30 years, the dynamics of Moore’s law held true. But CPU performance scaling has slowed. GPU computing is defining a new, supercharged law. It starts with a highly specialized parallel processor called the GPU and continues through system design, system software, algorithms, and optimized applications. The world is jumping on board — today, there are some 800,000 GPU developers.
  • 4. 4 THE EPICENTER OF GPU COMPUTING GTC is ground zero of the GPU computing movement. This year’s flagship event was a four-day gathering of 8,300 registered attendees who were offered more than 600 technical sessions. Three hundred reporters and analysts experienced first-hand NVIDIA’s lineup of announcements. Now a global tour, GTCs are held around the world, from Washington to Munich to Tokyo.
  • 5. 5 NVIDIA DEFINES MODERN COMPUTER GRAPHICS Our invention of the GPU in 1999 made real-time programmable shading possible, giving artists an infinite palette for expression. This year, the introduction of NVIDIA RTX™ ray-tracing technology fulfilled another vision of computer scientists, paving the way to new levels of art and realism in real-time graphics. We’ve led the field of visual computing for decades.
  • 6. 6 A GIANT LEAP IN COMPUTER GRAPHICS Real-time ray tracing has been the dream of computer scientists since it was first described nearly 40 years ago. NVIDIA RTX technology — a platform for real-time ray tracing — has brought it to life. Coupled with the Quadro® GV100, RTX is the greatest advance in computer graphics of the past 15 years, since our introduction of the programmable shader. NVIDIA has reinvented computer graphics, again.
  • 7. 7 CREATING AMAZING WORLDS Today’s blockbuster games are essentially big budget Hollywood films — artists work on titles for years, production value is a point of competition, and expectations are high. NVIDIA GPUs are the engines that make these games possible. NVIDIA GameWorks™ software allows developers to make games more photorealistic and immersive. And NVIDIA Ansel™ allows gamers to capture stunning in-game photography. Here, a scene from Hellblade: Senua’s Sacrifice.
  • 8. 8 GEFORCE — THE WORLD’S LARGEST GAMING PLATFORM Gaming is the world’s largest entertainment industry. With 200 million gamers, NVIDIA GeForce® is its largest platform. GeForce GTX GPUs and the GeForce Experience™ application transform everyday PCs into powerful gaming machines.
  • 9. 9 HIGH-END PC GAMING FOR EVERYONE One day, everyone will be a gamer. NVIDIA GeForce NOW™ is a cloud-based service that turns Macs and everyday PCs into virtual GeForce gaming machines, opening high-end gaming and blockbuster PC titles to millions of users for the first time.
  • 10. 10 NVIDIA IS REVOLUTIONIZING COMPUTING In 2006, the creation of our CUDA® programming model and Tesla® GPU platform opened up the parallel-processing capabilities of the GPU to general-purpose computing. A powerful new approach to computing was born.
  • 11. 11 POWERING THE WORLD’S FASTEST SUPERCOMPUTERS GPU computing is the most accessible and energy-efficient path forward for HPC and datacenters. Today, NVIDIA powers the fastest supercomputers in the U.S. and Europe, as well as some of the most advanced systems under construction. Japan’s ABCI will come online in 2018 as the country’s most powerful supercomputer and a global innovation platform for AI. And in the U.S., Lawrence Livermore and Oak Ridge National Labs will soon introduce next-generation NVIDIA-accelerated systems.
  • 12. 12 ACCELERATING THE CODES OF SCIENTIFIC DISCOVERY NVIDIA has been developing the CUDA programming model for over a decade. Today, it’s the platform of choice for high-performance application developers, with support for more than 500 applications — including the top 15 HPC applications. From weather prediction and materials science to wind tunnel simulation and genomics, NVIDIA GPU computing is at the heart of HPC’s most promising areas of discovery.
  • 13. 13 POWERING NOBEL PRIZE WINNERS NVIDIA GPU computing played a role in two Nobel Prize-winning discoveries in 2017. The prize for physics was awarded to a team of scientists who detected gravitational waves for the first time in human history. And the prize for chemistry was awarded for work in cryogenic electron microscopy, which allows scientists to see detailed protein structures at the atomic level (pictured).
  • 14. 14 NVIDIA IGNITES THE AI BIG BANG Artificial intelligence is the use of computers to simulate human intelligence. AI amplifies our cognitive abilities — letting us solve problems where the complexity is too great, the information is incomplete, or the details are too subtle and require expert training. Learning from data — a computer’s version of life experience — is how AI evolves. GPU computing powers the computation required for deep neural networks to learn to recognize patterns from massive amounts of data. This new, supercharged mode of computing sparked the AI era.
  • 15. 15 THE ERA OF AI The PC revolution put a computer in every home. The mobile era put a computer in every pocket. The cloud turned every mobile device into a supercomputer. The AI era will infuse intelligence into trillions of computing devices and be the single largest opportunity the industry has ever known. AI will spur a wave of social progress unmatched since the industrial revolution. PC MOBILE CLOUD AI
  • 16. 16 NVIDIA is advancing GPU computing for deep learning and AI at the speed of light. We create the entire stack. It starts with the most advanced GPUs and the systems and software we build on top of them. We integrate and optimize every deep learning framework. We work with the major systems companies and every major cloud service provider to make GPUs available in datacenters and in the cloud. And we create computers and software to bring AI to the edge, from self-driving cars to autonomous robots to medical devices. ONE ARCHITECTURE POWERING THE AI REVOLUTION
  • 17. 17 VOLTA EVERYWHERE Volta, the world’s most powerful GPU computing architecture, was built to drive the next wave of AI and HPC. Every major cloud service provider offers Volta instances, and every major computer maker offers Volta-based servers for on-premise datacenters. At GTC 2018, we supercharged the NVIDIA AI platform with the announcement of a “double-sized” 32GB Volta GPU. EVERY COMPUTER MAKEREVERY CLOUD
  • 18. 18 THE LARGEST GPU IN THE WORLD AI holds enormous promise, but it requires a massive amount of computing power. NVIDIA DGX-2™ is the first single server capable of delivering 2 petaflops of computational power — enough to replace 300 dual-CPU servers in today’s hyperscale datacenters. DGX-2 features NVSwitch™, a revolutionary GPU interconnect fabric that enables its 16 Tesla V100 GPUs to simultaneously communicate at a record speed of 2.4 terabytes per second. Programming DGX-2 is like programming “the largest GPU in the world.”
  • 19. 19 VOLTA TAKES SATURNV TO NEW HEIGHTS NVIDIA’s own SATURNV is one of the most powerful AI supercomputers in the world. It’s also the fourth most energy efficient, based on the November 2017 Green500 list of supercomputers. SATURNV is powered by 5,280 Volta GPUs, giving it a previously unimaginable FP16 performance of more than a half an exaflops on AI workloads.
  • 20. 20 A CAMBRIAN EXPLOSION OF AI Since AlexNet, thousands of neural network models have emerged. With hundreds of layers and billions of parameters, their complexity has soared by 500X in just 5 years. The hyperscale datacenters that host them serve billions of people, cost billions to operate, and are among the most complex computers in the world. Maintaining them demands a balance of important factors: programmability, latency, accuracy, size, throughput, energy efficiency, and rate of learning. CONVOLUTIONAL NETWORKS RECURRENT NETWORKS GENERATIVE ADVERSARIAL NETWORKS REINFORCEMENT LEARNING NEW SPECIES Encoder/Decoder ReLu BatchNorm Concat Dropout Pooling LSTM GRU Beam Search WaveNet CTC Attention 3D-GAN MedGAN ConditionalGAN Coupled GAN Speech Enhancement GAN DQN Simulation DDPG Mixture of Experts Neural Collaborative Filtering Block Sparse LSTM Capsule Nets
  • 21. 21 TRILLIONS OF INTELLIGENT THINGS The programmable NVIDIA platform is designed for the complex universe of AI development and deployment. TensorRT™ 4, the latest version of our inference software, is integrated into Google’s popular TensorFlow framework. Kaldi, the most popular framework for speech recognition, is now optimized for GPUs. And Kubernetes on NVIDIA GPUs allows orchestration of resources across multi-cloud GPU clusters. Hyperscale datacenters can save big money with NVIDIA inference acceleration.
  • 22. 22 NVIDIA GPU CLOUD — ONE PLATFORM, RUN EVERYWHERE The NVIDIA GPU Cloud registry gives developers access to GPU-optimized software stacks wherever they want it — on PCs, in the datacenter, or via the cloud. There are some 30 GPU-optimized containers for deep learning, HPC, HPC visualization, and analytics.
  • 23. 23 AI IS REVOLUTIONIZING EVERY INDUSTRY The AI race is on. Deep learning breakthroughs no longer come from scientific and research labs alone. Today, in trillion-dollar industries like transportation, healthcare, and manufacturing, companies are using AI to transform the ways they do business. Self-driving cars, intelligent medical imaging systems, and autonomous factory robots have moved quickly from ideas to reality. And it’s only the beginning.
  • 24. 24 REVOLUTIONIZING TRANSPORTATION Transportation is a $10 trillion industry. Autonomous vehicles will change it forever, making our roads safer and our cities more efficient. More than 370 companies are using NVIDIA technology in their datacenters and vehicles. They range from car companies and suppliers, to mapping and sensor companies, to startups and research organizations.
  • 25. 25 NVIDIA DRIVE — FROM TRAINING TO SAFETY Building an autonomous car is an extraordinary endeavor. To train the network, data from all over the world, covering every road condition, needs to be collected and labeled and fed into a DGX supercomputer. Simulation is used to expand the training set as well as cover dangerous or extreme scenarios that can’t be captured on the road. The trained model is deployed on an in-car supercomputer, where it can tap into a sophisticated software stack covering everything from pedestrian detection to driver monitoring. At every step of the way, the most stringent standards are applied to ensure that safety is paramount. Cars Pedestrians Path Lanes Signs Lights Cars Pedestrians Path Lanes Signs Lights 1. COLLECT & PROCESS DATA 2. TRAIN MODELS 3. SIMULATE 4. DRIVE
  • 26. 26 SIMULATION — THE ROAD TO SAFE SELF-DRIVING CARS Each year, 10 trillion miles are driven around the world. Test cars can eventually cover millions of miles, but we’ll need billions to create safe and reliable self-driving cars. NVIDIA DRIVE Constellation allows cars to drive billions of miles in virtual reality. Constellation consists of two different GPU servers. The first simulates the environment and what is detected by the car’s many sensors — cameras, radar, and lidar. The second is the NVIDIA DRIVE™ Pegasus AI car computer that runs the complete AV software stack and processes the simulated detected data as if it were coming from a real car.
  • 27. 27 REVOLUTIONIZING HEALTHCARE AI is transforming the spectrum of healthcare, from detection to diagnosis to treatment. The NVIDIA AI platform is the driving force. GE Healthcare has reinvented the CT, doubling image processing speeds by embedding GPU-powered AI in its new Revolution Frontier CT scanner. Nuance is helping radiologists use AI to speed their analysis of medical imaging by making pre-trained algorithms and vast imaging datasets available to them directly via its AI Marketplace.
  • 28. 28 PROJECT CLARA — A MEDICAL IMAGING SUPERCOMPUTER Early detection is the most powerful weapon to treat disease. The latest breakthroughs of AI and computational imaging can help, but only if put into the hands of doctors using the 3 million medical instruments built a decade ago. Project Clara, NVIDIA’s medical imaging supercomputer in the cloud, can do just that. With Clara, existing instruments will be supercharged with state-of-the- art image reconstruction, object detection and segmentation, and visualization capabilities. PROJECT CLARA IMAGING AND VISUALIZATION APPS CUDA | CUDNN | TENSORRT | OGL | RTX GPU CONTAINERS | VGPU NVIDIA GPU SERVER
  • 29. 29 REVOLUTIONIZING MANUFACTURING AND LOGISTICS Deep learning and affordable sensors have created the conditions for “the automation of automation.” NVIDIA Jetson™ TX2 delivers 1 teraflops of performance in a credit card-sized module. Such power will enable a new wave of manufacturing, drones that can inspect hazardous places, and robots that can deliver the millions of packages shipped every day.
  • 30. 30 NVIDIA ISAAC — WHERE ROBOTS GO TO LEARN The next chapter of AI is autonomous machines. We created a robotics platform called NVIDIA Isaac to accelerate the development and deployment of robotics across a broad range of industries. The Isaac SDK performs the important functions of robotics — perception, localization, navigation, and manipulation. Isaac Sim is a virtual reality simulator where roboticists can create and train robots. Drop the software created in Isaac Sim into a robot with the Isaac SDK, and an intelligent machine is born.
  • 31. 31 NVIDIA — A LEARNING MACHINE NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU computing ignited the era of AI. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. GRAPHICS HPC AINobel Prize Winning Cryo-EM
  • 32. 32 OPERATING AT THE SPEED OF LIGHT NVIDIA is united by a unique culture — the operating system of our learning machine. We dream big. We take risks. We learn from our mistakes together. Speed and agility are the keys to our success. Craftsmanship is a discipline and passion. There are no org charts — the project is the boss. These beliefs inform everything we do, from designing amazing products to building one of the world’s great companies — a place where people can to do their life’s work.
  • 33. 33 NVIDIA’s people share a strong sense of corporate responsibility. Our philanthropic giving exceeded $6 million in 2017. To date, our NVIDIA Foundation’s Compute the Cure initiative has directed more than $4 million to the fight against cancer. And our Techsplorer program, which introduces underserved youth to AI, has reached more than 5,800 students since it launched in 2017. INSPIRED TO GIVE TO OUR COMMUNITIES
  • 34. 34 Founded in 1993 | Jensen Huang, Founder & CEO | 12,000 employees | $9.7B in FY18 “World’s Best Performing CEOs” — Harvard Business Review “World’s Best CEOs” — Barron’s “Employees’ Choice: Highest Rated CEOs” — Glassdoor “World’s Most Admired Companies” — Fortune “Most Innovative Companies” — Fast Company “50 Smartest Companies” — MIT Tech Review