GTC CHINA 20I7

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

GTC China 2017 was a three-day event hosting more than 4,000 attendees, 100 press and analysts, and 70 professional talks. Developers and leaders from China’s largest and most innovative companies were on hand.

“NVIDIA Builds on AI Success at GTC Beijing” —Forbes

Deep Learning Institute575 developers

Keynote375K live views

Show Floor + Special Events40 exhibitors

Inception Awards5 leading AI startups

Two forces are driving the future of computing. First, Moore’s law has ended. Transistors continue to grow by 50% per year, but CPU performance only grows by 10%. Second, the combination of deep learning, big data, and GPU computing has ignited the AI revolution. NVIDIA GPU computing has given the industry a path forward. Developers all over the world are jumping onto the platform. This year, 22,000 people will attend NVIDIA’s GTC developer conferences. And GPU developers grew 14X in 5 years to over 600,000.

“GPU Is Moore’s Law in the Era of Artificial Intelligence”—Leiphone

NVIDIAThe World’s AI

Computing Platform

NVIDIA TensorRT1st Programmable Inference

Accelerator

NVIDIA TensorRTAI Cities Platform

NVIDIA DRIVEOpen AV Platform for the Transportation Industry

NVIDIA

TensorRT

Xavier1st Autonomous

Machine Processor

We made announcements in five major areas at GTC China. In sum, China’s most important companies have adopted the latest NVIDIA GPU computing technologies for AI. And we advanced the NVIDIA platform for the next great AI challenges: inference and autonomous machines.

“NVIDIA Targets Next AI Frontiers: Inference And China”—Forbes

“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.

“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.

“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

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 to bring 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

One of the most important contributions of AI will be the invention of autonomous vehicles. NVIDIA DRIVE is an end-to-end platform to enable the AV revolution. More than 145 startups have adopted it.

“NVIDIA’s Autonomous

Driving Ecosystem

Expands to 145

Startup Partners”— AI-Drive

It will soon be possible to create many classes of autonomous machines that can perceive their surroundings, understand their situation, and reason about what to do next. The computing challenges require real-time processing, rich sensor I/O, deep learning inferencing, high performance parallel computation, and great energy efficiency. Xavier, the world’s first autonomous machine processor, was created to power the new era of autonomous machines.

Xavier: 30 TOPS of CV, Deep Learning, and Parallel Computing

“NVIDIA Jensen Huang: Autonomous Machine Era Is Coming”—DOIT

“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. Xavier will be the SoC for the next-generation Jetson.

“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