The AI Era Ignited by GPU Deep Learning
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The document discusses the transformative impact of GPU deep learning on various industries, highlighting how AI is revolutionizing sectors like transportation, cybersecurity, and enterprise computing. Companies, including NVIDIA, are pioneering an end-to-end AI platform that facilitates the integration of intelligence across billions of devices. This shift is leading to unprecedented advancements, such as improved safety in autonomous vehicles and enhanced capabilities in real-time data processing.
The AI Era Ignited by GPU Deep Learning
- 1. 1 THE AI ERA IS HERE Ignited by a new computing model, GPU Deep Learning
- 2. 2
- 3. 3 This new model — where deep neural networks are trained to recognize patterns from massive amounts of data — has proven to be “unreasonably” effective at solving some of the most complex problems in computer science.
- 4. 4 In this era, software writes itself and machines learn. Soon, hundreds of billions of devices will be infused with intelligence. AI will revolutionize every industry.
- 5. 5 To advance every aspect of AI, NVIDIA is building an end-to-end AI computing platform — one architecture that spans training, inference and the billions of intelligent devices that are coming our way.
- 6. 6 This is the first step to ensuring that every industry can tap into the immense AI opportunity. READ MORE
- 7. 7 The global ecosystem for NVIDIA GPU Deep Learning has scaled out rapidly. Breakthrough results triggered a race to adopt AI for consumer internet services: TRANSLATION RECOGNITION SEARCH RECOMMENDATIONS
- 8. 8 Cloud service providers, from Alibaba and Amazon to IBM and Microsoft, make the NVIDIA GPU deep learning platform available to companies large and small.
- 9. 9 The world’s largest enterprise technology companies have configured servers based on NVIDIA GPUs.
- 10. 10 The team was able to: • Process $10,900 payments per second • Cut false alarm rates by 50% • Free up resources to combat true fraud PayPal is improving cybersecurity with deep learning
- 11. 11 The team trained their neural networks on millions of images uploaded by Pinterest users and then used GPUs in Amazon cloud to detect and classify objects in real-time. Pinterest is Changing Online Retail with GPUs
- 12. 12 AI can solve problems that seemed well beyond our reach just a few years back. From real-world data, computers can learn to recognize patterns too complex, too massive or too subtle for hand-crafted software or even humans.
- 13. 13 TRANSPORTATION SURVEILLANCE With GPU deep learning, this computing model can now be applied to solve challenges in the world’s largest industries. ENTERPRISE FACTORY
- 14. 14 AI TRANSPORTATION At $10 trillion, transportation is a massive industry that AI can transform. Autonomous vehicles can reduce accidents, improve the productivity of trucking and taxi services, and enable new mobility services.
- 15. 15 AI TRANSPORTATION NVIDIA CEO Jen-Hsun Huang, at the WSJD Live conference, envisions cars using AI to customize the driving experience, so vehicles automatically adjust themselves to each individual’s preferences. READ MORE
- 16. 16 BAIDU TOMTOM Each includes an open “cloud-to- car” platform that includes an HD map, AI algorithms and an AI supercomputer. Both Baidu and TomTom s elected NVIDIA DRIVE PX 2 for self-driving cars. AI TRANSPORTATION READ MORE
- 17. 17 AI CITY There will be 1 billion cameras in the world in 2020. Hikvision, the world leader in surveillance systems, is using AI to help make our cities safer.
- 18. 18 AI CITY READ MORE Hikvision uses the DGX-1 for network training and built a breakthrough server, called “Blade,” based on 16 Jetson TX1 processors. Blade requires 1/20 the space and 1/10 the power of the 21 CPU-based servers of equivalent performance.
- 19. 19 AI ENTERPRISE IBM saw a $2 trillion opportunity in cognitive computing and announced a new POWER8 and NVIDIA Tesla P100 server designed to bring AI to the enterprise.
- 20. 20 On the software side, SAP announced their obtainment of two NVIDIA DGX-1 supercomputers and is actively building machine learning enterprise solutions for its 320,000 customers in 190 countries. READ MORE AI ENTERPRISE
- 21. 21 AI FACTORY There are two billion industrial robots worldwide. Japan is the epicenter of robotics innovation.
- 22. 22 AI FACTORY FANUC, the Japan-based industrial robotics giant, will build the factory of the future on the NVIDIA AI platform, from end to end. READ MORE
- 23. 23https://www.cbinsights.com/blog/artificial-intelligence-funding-trends-q216/ GPU deep learning is inspiring a new wave of startups — 1,500+ around the world — in healthcare, fintech, automotive, consumer web applications and more. THE NEXT PHASE OF EVERY INDUSTRY
- 24. 24 Drive.ai was recently licensed to test its vehicles on California roads. It’s applying deep learning to the full driving stack. AI STARTUP
- 25. 25 Benevolent.ai, based in London and one of the first recipients of DGX- 1, is using deep learning for drug discovery to tackle diseases like Parkinson’s, Alzheimer’s and rare cancers. READ MORE AI STARTUP
- 26. 26 Preferred Networks, the Japan-based developer of the Chainer framework, is developing deep learning solutions for IoT.
- 27. 27 AI is ushering in the fourth industrial revolution — after steam, mass production and automation.
- 28. 28 This “Intelligent Industrial Revolution” will drive a new wave of productivity to enable mass customization. AI will touch everyone. READ MORE