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.
5. GTC TAIWAN 2017
TAIPEI, OCTOBER 26
“NVIDIA Will Provide Its Full Support to Help Taiwanese Industries
Foray into the AI Domain”
—DigiTimes
6. Deep Learning Institute
Hands-on DL training for
thousands of developers
Keynotes
500,000+ views
worldwide
Show Floor + Special Events
Hundreds of exhibitors across
every strategic industry
Inception Awards
Showcases for leading
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.
“GTC Has Become the Most Important
and the Largest Annual Extravaganza for the Computing Industry”
—DigiTimes
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
The World’s AI
Computing Platform
NVIDIA TensorRT
Programmable
Inference Accelerator
NVIDIA TensorRT
For the AI Cities Platform
NVIDIA DRIVE
Open AV Platform
Adopted by 145 Startups
NVIDIA
TensorRT
Xavier
1st Autonomous
Machine Processor
9. ANNOUNCED AT GTC EUROPE
NVIDIA HOLODECK
Design Lab of the Future
NVIDIA
The World’s AI
Computing Platform
NVIDIA DRIVE
Open AV Platform
From 3D Sim to Self-Driving
NVIDIA DRIVE PX
Pegasus
Robotaxi AI Computer
Isaac
Robot Simulator
10. ANNOUNCED AT GTC ISRAEL
NVIDIA HOLODECK
Design Lab of the Future
NVIDIA AI
Volta in Every Cloud | NVIDIA GPU Cloud Registry
TensorRT Programmable Inference Accelerator
NVIDIA AUTONOMOUS MACHINES
Pegasus Robotaxi AI Computer
Xavier Processor | Isaac Robot Simulator
11. ANNOUNCED AT GTC TAIWAN
Taiwan’s MOST
Adopts NVIDIA
for AI Grand Plan
NVIDIA AUTONOMOUS MACHINES
Jetson TX2
JetPack | DIGITS | Isaac Robot Simulator
NVIDIA AI
Volta in Every Cloud | NVIDIA GPU Cloud Registry
TensorRT Programmable Inference Accelerator
12. “The Success of GPUs Seems To Be Unstoppable”
— DataCenter Insider
13. 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.
“NVIDIA’s GPUs Point Out a Way Ahead for the Whole Industry”
—TechWalker
Deep Learning Starts AI Revolution
1980 1990 2000 2010 2020
103
105
107
1.5X per year
GPU Extends Performance Post-Moore’s Law
Single-threaded perf
GPU-Accelerated
Computing
1.1X per year
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
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.
160 CPU servers
45,000 images/second | 65 KWatts
1 NVIDIA HGX with 8 Tesla V100s
45,000 images/second | 3 KWatts
4 Racks in a Box
19. DRIVE PX — AI CAR COMPUTER
DRIVEWORKS SDK
DRIVE AV
DRIVE OS
RADAR Fusion
LIDAR
Point-Cloud Processing
Camera Deep Learning
(Detection)
Camera Deep Learning
(Freespace)
Camera Computer Vision
(SLAM)
HD Map
(Localizing to Map)
Path Planning
“NVIDIA Has Now Become the Leader in Autonomous-Driving Technology”
—MarketWatch
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. 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.
Level 2 Level 5
21. “NVIDIA gets it. And their Drive PX
Pegasus will get us to Level 5.”
—EE Times
“NVIDIA’s DRIVE PX Pegasus Is a
Royal Flush for Self-Driving Cars”
—Seeking Alpha
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.
“This is potentially world-changing.”
—Datamation
23. “NVIDIA Jensen Huang: Autonomous Machine Era Is Coming”
—DOIT
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.
JetPack SDK DIGITS Isaac Robot Simulator
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. 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.
“NVIDIA Sets Off an Artificial
Intelligence Wave in
Domestic Security”
—21csp
26. “Already, NVIDIA has won praise from top architects,
NASA engineers and cutting edge designers, based
on their experience with Holodeck.”
—TechCrunch
“NVIDIA’s Latest Tech Is Here
to Blow Possibilities of VR Wide Open”
—Alphr
“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. “NVIDIA Goes All-in with AI
for the ‘Goodness of Mankind’”
—TweakTown
“AI Godfather Jensen Huang
Leads Innovation”
—DeepTech
“From AI at the Edge to AI City,
NVIDIA Enables AI Everywhere”
—ZDNet
“The NVIDIA GPU Computing
Empire Has Emerged”
—AI Era
Notas del editor
Press release:
The computational requirements of robotaxis are enormous -- perceiving the world through high-resolution, 360-degree surround cameras and lidars, localizing the vehicle within centimeter accuracy, tracking vehicles and people around the car, and planning a safe and comfortable path to the destination. All this processing must be done with multiple levels of redundancy to ensure the highest level of safety. The computing demands of driverless vehicles are easily 50 to 100 times more intensive than the most advanced cars today.
Other press quotes:
“Nvidia's Drive PX Pegasus Is A Royal Flush For Self-Driving Cars” -Seeking Alpha
“Once automakers realized that GPUs could power their latest features, NVIDIA became the darling of the car world.” - Engadget
“Nvidia has now become the leader in autonomous-driving technology” – MarketWatch
“Drive PX Pegasus clearly defines Nvidia as the leader in the autonomous-driving space” – MarketWatch
“The announcements are Nvidia's latest attempt to cement its status at the forefront of the autonomous driving world.” - Business Insider
“Put succinctly, this is the holy grail of what NVIDIA has been building towards over the last few years.” - Information Age
“Nvidia Shares Jump As It Debuts Computer For Self-Driving Cars” - Investor’s Business Daily
“Nvidia spikes after announcing an AI driving chip that'll replace an 'entire trunk full' of computers” - Business Insider
“Drive PX Pegasus is already being used by more than 25 companies to develop driverless taxi vehicles” - Investor’s Business Daily
“Drive PX Pegasus puts its predecessors in the shade.” - Ars Technica
“NVIDIA’s new Pegasus wants the keys to your Level 5 autonomous car” - SlashGear
“Nvidia wants to put license-plate-sized data centers into self-driving taxis” – MarketWatch
“At 320 TOPS, Pegasus’ computational performance literally blows Nvidia’s competitors out of the water.” - EE Times
“Nvidia pushed the computational performance battle for autonomous cars to a new level” - EE Times
“Nvidia gets it. And their Drive PX Pegasus will get us to Level 5” - VentureBeat - Tim Kentley-Klay, CEO and cofounder of Zoox
“Nvidia will be able to address enormous markets including taxis, emergency response and shipping, presenting a gold mine of opportunity.” – MarketWatch
“Drive PX Pegasus is clearly a forward-looking device.” – MarketWatch
“Pegasus is the highest-performance machine learning inference platform in that form factor and gives Nvidia a leg up in the race to full autonomy.” – VentureBeat
“Nvidia Outpaces Intel in Robo-car Race” - EE Times
“This will heighten the urgency to develop last mile delivery services.” - EE Times
“Nvidia hails a robotaxi with next step in AI computing” - Computer Business Review
“Nvidia’s AI computing platform packs the power of a data centre into a supercomputer the size of a license plate.” - Computer Business Review
“Nvidia's Pegasus is the 'world's first' AI supercomputer for fully-autonomous robotaxis” - The Inquirer
“Fully-autonomous vehicles require heap loads of computational power, and Nvidia thinks its Pegasus is up to the challenge.” - The Inquirer
“NVIDIA thinks they are close to opening up the world to the possibility of smart driving.” - Information Age
“Drive PX Pegasus can replace a supercomputer for autonomous driving, which for some vehicle manufacturers currently still needs to fill the entire luggage compartment and consume several thousand watts.” - Automobilwocke (Google translated from German)
“Pegasus aims to make autonomous driving tech more manageable for production deployment, and fit the needed computational power into the size of a license plate.” - Tech Republic
“The technology could speed the use of autonomous vehicles in the trucking and ridesharing industries, as well as among consumers, potentially disrupting many facets of the auto industry.” - Tech Republic
“Nvidia sets sights on the driverless revolution with Drive PX Pegasus” - Ars Technica
“Pegasus is aimed at bridging the gap between current technology and what’s needed to make level 5 a reality.” - SlashGear
“Pegasus should help manufacturers test algorithms on hardware that doesn’t take up so much space or eat so much battery. For a company concerned about total range, that should music to the ears.” – SlashGear
“Pegasus can handle 320 trillion operations per second, representing roughly a 13-fold increase over the calculating power of the current PX 2 line. This dramatic improvement is a pre-condition for developing and testing future autonomous cars.” - Reuters