gtc tour 2017 highlights

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GTC WORLD TOUR 2017

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Page 1: GTC Tour 2017 Highlights

GTC WORLD TOUR 2017

Page 2: GTC Tour 2017 Highlights

“At GTC 2017, NVIDIA CEO Jensen Huang Took Beijing by the Storm of AI”—TechWalker

GTC CHINA 2017 BEIJING, SEPTEMBER 25-27

Page 3: GTC Tour 2017 Highlights

“From Video Games to Cars: The Irresistible Rise of NVIDIA”—Le Figaro

GTC EUROPE 2017 MUNICH, OCTOBER 10-12

Page 4: GTC Tour 2017 Highlights

“It’s Israel’s Disneyland for AI”—The Marker

GTC ISRAEL 2017 TEL AVIV, OCTOBER 18

Page 5: GTC Tour 2017 Highlights

GTC TAIWAN 2017 TAIPEI, OCTOBER 26

“NVIDIA Will Provide Its Full Support to Help Taiwanese Industries

Foray into the AI Domain”—DigiTimes

Page 6: GTC Tour 2017 Highlights

Deep Learning InstituteHands-on DL training for thousands of developers

Keynotes500,000+ views

worldwide

Show Floor + Special EventsHundreds of exhibitors across

every strategic industry

Inception AwardsShowcases 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

Page 7: GTC Tour 2017 Highlights

“NVIDIA Has Been on a World Tour,

Announcing New AI Partnerships with

Drone Makers, Car Companies and More” — Business Insider

Page 8: GTC Tour 2017 Highlights

ANNOUNCED AT GTC CHINA

NVIDIAThe World’s AI

Computing Platform

NVIDIA TensorRTProgrammable

Inference Accelerator

NVIDIA TensorRTFor the AI Cities Platform

NVIDIA DRIVEOpen AV Platform

Adopted by 145 Startups

NVIDIA

TensorRT

Xavier1st Autonomous

Machine Processor

Page 9: GTC Tour 2017 Highlights

ANNOUNCED AT GTC EUROPE

NVIDIA HOLODECKDesign Lab of the Future

NVIDIAThe World’s AI

Computing Platform

NVIDIA DRIVEOpen AV Platform

From 3D Sim to Self-Driving

NVIDIA DRIVE PXPegasus

Robotaxi AI Computer

IsaacRobot Simulator

Page 10: GTC Tour 2017 Highlights

ANNOUNCED AT GTC ISRAEL

NVIDIA HOLODECKDesign Lab of the Future

NVIDIA AIVolta in Every Cloud | NVIDIA GPU Cloud RegistryTensorRT Programmable Inference Accelerator

NVIDIA AUTONOMOUS MACHINESPegasus Robotaxi AI Computer

Xavier Processor | Isaac Robot Simulator

Page 11: GTC Tour 2017 Highlights

ANNOUNCED AT GTC TAIWAN

Taiwan’s MOST Adopts NVIDIA

for AI Grand Plan

NVIDIA AUTONOMOUS MACHINESJetson TX2

JetPack | DIGITS | Isaac Robot Simulator

NVIDIA AIVolta in Every Cloud | NVIDIA GPU Cloud RegistryTensorRT Programmable Inference Accelerator

Page 12: GTC Tour 2017 Highlights

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

Page 13: GTC Tour 2017 Highlights

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

Page 14: GTC Tour 2017 Highlights

“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.

Page 15: GTC Tour 2017 Highlights

“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.

Page 16: GTC Tour 2017 Highlights

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.

Page 17: GTC Tour 2017 Highlights

“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.

Page 18: GTC Tour 2017 Highlights

“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

Page 19: GTC Tour 2017 Highlights

DRIVE PX — AI CAR COMPUTER

DRIVEWORKS SDK

DRIVE AV

DRIVE OS

RADAR FusionLIDAR

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.

Page 20: GTC Tour 2017 Highlights

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

Page 21: GTC Tour 2017 Highlights

“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

Page 22: GTC Tour 2017 Highlights

“NVIDIA’s Autonomous

Driving Ecosystem

Expands to 145

Startup Partners”—AI-Drive

Page 23: GTC Tour 2017 Highlights

“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

Page 24: GTC Tour 2017 Highlights

“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.

Page 25: GTC Tour 2017 Highlights

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

Page 26: GTC Tour 2017 Highlights

“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.

Page 27: GTC Tour 2017 Highlights

“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

Page 28: GTC Tour 2017 Highlights