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.

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.

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.

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.

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.

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

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.

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.

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.

POWERING THE WORLD’S

FASTEST SUPERCOMPUTERS

GPU computing is the most accessible and energy-

efficient path forward for HPC and data centers.

Today, NVIDIA powers the world’s fastest

supercomputer, as well as the most advanced

systems in Europe and Japan.

In the U.S., Oak Ridge National Labs introduced

Summit, now the world’s smartest and most

powerful supercomputer. 27,000 NVIDIA Volta

Tensor Core GPUs accelerate Summit’s

performance to more than 200 petaflops

for HPC and 3 exaops

for AI.

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.

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

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.

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.

MOBILE

CLOUD

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

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 MAKER

EVERY CLOUD

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.”

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.

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

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.

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.

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.

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.

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

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.

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.

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

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.

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.

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

Nobel Prize Winning Cryo-EM

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.

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

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 Technology Brochure

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