This document summarizes NVIDIA's 2018 GTC world tour events and announcements. It discusses GTC conferences held in Beijing, Munich, Tel Aviv, and Taipei where NVIDIA announced new AI products and partnerships. Key announcements included the NVIDIA TensorRT inference accelerator, DRIVE autonomous vehicle platforms, Jetson modules for edge AI, and technologies for smart cities, robotics, virtual reality, and more. The tour highlighted NVIDIA's leadership in GPU computing and goal of enabling AI applications across various industries.

1. GTC WORLD TOUR 2018

2. GTC CHINA 2018
BEIJING, SEPTEMBER 25-27
“At GTC 2018, NVIDIA CEO Jensen Huang Took Beijing by the Storm of AI”
—TechWalker

3. GTC EUROPE 2018
MUNICH, OCTOBER 10-12
“From Video Games to Cars: The Irresistible Rise of NVIDIA”
—Le Figaro

4. GTC ISRAEL 2018
TEL AVIV, OCTOBER 18
“It’s Israel’s Disneyland for AI”
—The Marker

5. TC TAIWAN 2018
TAIPEI, OCTOBER 26
“NVIDIA Will Provide Its Full Support to Help Taiwanese
Industries Foray into the AI Domain”
—DigiTimes

6. “GTC Has Become the Most Important
and the Largest Annual Extravaganza for the Computing Industry”
—DigiTimes
Deep Learning Institute Keynotes Show Floor + Special Events Inception Awards
Hands-on DL training for 500,000+ views Hundreds of exhibitors across Showcases for leading
thousands of developers worldwide every strategic industry AI startups
The NVIDIA GTC world tour fosters the excitement and success of the CUDA GPU platform across the globe. So far in 2017,
we’ve held sold -out events in Beijing, Munich, Taipei, and Tel Aviv. Washington D.C. and Tokyo are the next stops. In all,
we’ll host more than 15,000 attendees, several hundred professional talks, hundreds of press and analysts, and
developers and leaders from the world’s largest and most innovative companies.

7. “NVIDIA Has Been on a World Tour,
Announcing New AI Partnerships with
Drone Makers, Car Companies and More”
— Business Insider

8. ANNOUNCED AT GTC CHINA
NVIDIA
TensorRT
NVIDIA NVIDIA TensorRT NVIDIA TensorRT NVIDIA DRIVE Xavier
The World’s AI Programmable For the AI Cities Platform Open AV Platform 1st Autonomous
Computing Platform Inference Accelerator Adopted by 145 Startups Machine Processor

9. ANNOUNCED AT GTC EUROPE
NVIDIA HOLODECK NVIDIA NVIDIA DRIVE NVIDIA DRIVE PX Isaac
Design Lab of the Future The World’s AI Open AV Platform Pegasus Robot Simulator
Computing Platform From 3D Sim to Self-Driving Robotaxi AI Computer

10. ANNOUNCED AT GTC ISRAEL
NVIDIA HOLODECK NVIDIA AI NVIDIA AUTONOMOUS MACHINES
Design Lab of the Future Volta in Every Cloud | NVIDIA GPU Cloud Registry Pegasus Robotaxi AI Computer
TensorRT Programmable Inference Accelerator Xavier Processor | Isaac Robot Simulator

11. ANNOUNCED AT GTC TAIWAN
NVIDIA AI Taiwan’s MOST NVIDIA AUTONOMOUS MACHINES
Volta in Every Cloud | NVIDIA GPU Cloud Registry Adopts NVIDIA Jetson TX2
TensorRT Programmable Inference Accelerator for AI Grand Plan JetPack | DIGITS | Isaac Robot Simulator

12. “The Success of GPUs Seems To Be Unstoppable”
— DataCenter Insider

13. “NVIDIA’s GPUs Point Out a Way Ahead for the Whole Industry”
—TechWalker
107
GPU-Accelerated
Computing
105
1.1X per year
103
1.5X per year
Single-threaded perf
1980 1990 2000 2010 2020
Deep Learning Starts AI Revolution GPU Extends Performance Post-Moore’s Law
Two forces are driving the future of computing. First, the combination of deep learning, big data, and GPU computing
has ignited the AI revolution. Second, Moore’s law has ended. Transistors continue to grow by 50% per year, but CPU
performance only grows by 10%. Built on the CUDA architecture, NVIDIA GPU computing has given the industry a path
forward just in time for AI. The number of GPU developers has grown 15X in the last five years to more than 645,000.

14. “NVIDIA Signs Massive Deal
with China’s Kingpins”
—Seeking Alpha
NVIDIA Tesla V100, a 120 TeraFLOPS processor created to drive the next wave of AI, was adopted by Alibaba, Baidu, and
Tencent for their datacenters and cloud service infrastructures. Researchers and startups can now rent the most
advanced AI infrastructure in the cloud and avoid the complexities and expense of building a supercomputer. In addition,
Huawei, Inspur, and Lenovo are using the NVIDIA HGX reference architecture to offer Volta-based servers for enterprises
requiring a dedicated AI supercomputer.

15. “NVIDIA GPU Cloud Democratizes AI for Developers on AWS”
—TechRepublic
NVIDIA GPU Cloud (NGC) simplifies AI development for a rapidly growing base of users. NGC manages a catalog of
integrated and optimized deep learning framework containers, and can run on any computing environment, from PCs
to datacenters or in the cloud. We announced availability of NGC on Amazon Web Services, which also launched the
first cloud instances powered by Tesla V100.

16. In Taiwan, we announced an extensive partnership with the country’s Ministry of Science and Technology centered on
building the country’s first AI-focused supercomputer at the National Center for High-Performance Computing. Based
on the NVIDIA DGX computing platform, it aims to reach 4 petaflops of performance — placing it among the world’s top
25 fastest supercomputers. The new partnership will also include professional training, startup development, and
investments in the country’s “AI Edge” semiconductor competitiveness initiative.

17. “Inferencing Is a Huge Market with Infinite Potential.
With TensorRT 3 NVIDIA Is Ahead of the Game.”
—AI Era
AI will infuse intelligence into 20 million cloud servers, hundreds of millions of autonomous machines, and trillions of
IoT devices. But AI inferencing platforms must be programmable to run the increasingly diverse, and more complex,
AI networks. We announced TensorRT 3, the world’s first programmable inference accelerator, which sharply boosts
the performance and slashes the cost of inferencing, from the cloud to edge devices. TensorRT supports all
frameworks and determines the optimal strategy for each target GPU.

18. “NVIDIA Tech Radically Improves
AI Inferencing Efficiency”
—Tom’s Hardware
160 CPU servers 1 NVIDIA HGX with 8 Tesla V100s
45,000 images/second | 65 KWatts 45,000 images/second | 3 KWatts
4 Racks in a Box
The performance of TensorRT is groundbreaking. TensorRT 3 on Volta speeds up image classification 40X over the fastest
CPU, and 140X for language translation. With such performance, just one 8-GPU server can replace 160 dual -CPU
servers. More than 1,200 companies have already begun using NVIDIA's inference platform, including leading Chinese AI
companies Alibaba, Baidu, iFLYTEK, JD.com, and WeChat.

19. “NVIDIA Has Now Become the Leader in Autonomous-Driving Technology”
—MarketWatch
RADAR Fusion
LIDAR Camera Deep Learning Camera Deep Learning Camera Computer Vision HD Map
Path Planning
Point-Cloud Processing (Detection) (Freespace) (SLAM) (Locali zin g to Map)
DRIVE AV
DRIVEWORKS SDK
DRIVE OS
DRIVE PX — AI CAR COMPUTER
Transportation is the fabric of society. Autonomous vehicles will change it forever. To help the industry adopt AVs,
NVIDIA created the DRIVE platform. Based on a powerful AI car computer and ASIL-D operating system, the open
platform brings together algorithms, tools, and a suite of self-driving car applications.

20. Level 2 Level 5
Ride-hailing services have seen exponential growth in recent years. Now, providers are looking to move quickly
toward completely driverless robotaxis — fully- autonomous, Level 5 vehicles that rely on redundant sets of sensors
like LIDAR and 360-degree surround cameras with the precision to keep riders safe. Expected to be the first Level 5
vehicles on city streets, robotaxis will demand a high-performance mobile computer that can process real-time data
streams and maintain completely fail-safe operation.

21. “NVIDIA’s DRIVE PX Pegasus Is a
Royal Flush for Self-Driving Cars”
—Seeking Alpha
“NVIDIA gets it. And their Drive PX
Pegasus will get us to Level 5.”
—EE Times
“This is potentially world-changing.”
—Datamation
NVIDIA DRIVE PX “Pegasus” is the world’s first AI computer designed to drive fully
autonomous robotaxis. Delivering more than 320 trillion operations per second,
Pegasus is a supercomputing datacenter in your trunk, and will help make
possible a new class of vehicle without steering wheels, pedals, or mirrors.

22. “NVIDIA’s Autonomous
Driving Ecosystem
Expands to 145
Startup Partners”
—AI-Drive

23. “NVIDIA Jensen Huang: Autonomous Machine Era Is Coming”
—DOIT
JetPack SDK DIGITS Isaac Robot Simulator
Self-driving cars are just one exciting area of autonomous machines. It will soon be possible to create many other classes of
machines that can perceive their surroundings, understand their situation, and reason about what to do next. Created to power
the new era of autonomous machines, the NVIDIA Jetson platform is a pocket-sized AI supercomputer complemented by the
JetPack SDK and DIGITS deep learning development environment. The NVIDIA Isaac robot simulator allows developers to train
robots in highly realistic, physics-based virtual environments and then transfer that knowledge to real-world units.

24. “JD X Taps NVIDIA for Drone Deliveries, Rescue and Agricultural Use”
—TechCrunch
Robotics will revolutionize manufacturing, logistics, and delivery. JD.com, one of the world’s largest retailers and
operators of logistics, has adopted the NVIDIA Jetson platform for autonomous machines.

25. “NVIDIA Sets Off an Artificial
Intelligence Wave in
Domestic Security”
—21csp
One billion smart cameras will be deployed by 2020 to make our cities smarter and safer. But it will be impossible to
manually monitor them. Building the AI City is a massive inference challenge. NVIDIA Metropolis is an edge-to-cloud
platform that brings the power of AI to smart city applications, from improving traffic to enhancing law enforcement.
Hikvision, the world’s leading intelligent video solutions company, adopted the NVIDIA platform from end to end.
Alibaba, Dahua, and Huawei have also created AI solutions on NVIDIA.

26. “NVIDIA’s Latest Tech Is Here
to Blow Possibilities of VR Wide Open”
—Alphr
“Already, NVIDIA has won praise from top architects,
NASA engineers and cutting edge designers, based on
their experience with Holodeck.”
—TechCrunch
“Every Star Trek fan in the world has been
waiting for a real-life Holodeck to emerge.
NVIDIA has gone and built one.”
—Hot Hardware
Our leadership in breakthrough graphics and AI comes together in NVIDIA Holodeck, a VR-based design studio of the
future. It brings designers, developers, and their customers together from anywhere in the world to build products in a
photorealistic, physics-based VR environment. We announced an early access program for designers eager to jump into
the Holodeck.

27. “AI Godfather Jensen Huang
Leads Innovation”
—DeepTech
“NVIDIA Goes All-in with AI
for the ‘Goodness of Mankind’”
—TweakTown
“From AI at the Edge to AI City,
NVIDIA Enables AI Everywhere”
—ZDNet
“The NVIDIA GPU Computing
Empire Has Emerged”
—AI Era