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GTC Tour 2017 Highlights

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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.

Publié dans : Technologie
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GTC Tour 2017 Highlights

  1. 1. GTC WORLD TOUR 2017
  2. 2. “At GTC 2017, NVIDIA CEO Jensen Huang Took Beijing by the Storm of AI” —TechWalker GTC CHINA 2017 BEIJING, SEPTEMBER 25-27
  3. 3. “From Video Games to Cars: The Irresistible Rise of NVIDIA” —Le Figaro GTC EUROPE 2017 MUNICH, OCTOBER 10-12
  4. 4. “It’s Israel’s Disneyland for AI” —The Marker GTC ISRAEL 2017 TEL AVIV, OCTOBER 18
  5. 5. GTC TAIWAN 2017 TAIPEI, OCTOBER 26 “NVIDIA Will Provide Its Full Support to Help Taiwanese Industries Foray into the AI Domain” —DigiTimes
  6. 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. 7. “NVIDIA Has Been on a World Tour, Announcing New AI Partnerships with Drone Makers, Car Companies and More” — Business Insider
  8. 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. 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. 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. 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. 12. “The Success of GPUs Seems To Be Unstoppable” — DataCenter Insider
  13. 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. 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. 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. 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. 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. 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. 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. 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. 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
  22. 22. “NVIDIA’s Autonomous Driving Ecosystem Expands to 145 Startup Partners” —AI-Drive
  23. 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. 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. 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. 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. 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