{"id":742,"date":"2021-01-09T13:12:14","date_gmt":"2021-01-09T13:12:14","guid":{"rendered":"https:\/\/machine-learning.webcloning.com\/2021\/01\/09\/adam-and-ev-nio-selects-nvidia-for-intelligent-electric-vehicles\/"},"modified":"2021-01-09T13:12:14","modified_gmt":"2021-01-09T13:12:14","slug":"adam-and-ev-nio-selects-nvidia-for-intelligent-electric-vehicles","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2021\/01\/09\/adam-and-ev-nio-selects-nvidia-for-intelligent-electric-vehicles\/","title":{"rendered":"Adam and EV: NIO Selects NVIDIA for Intelligent, Electric Vehicles"},"content":{"rendered":"<div data-url=\"https:\/\/blogs.nvidia.com\/blog\/2021\/01\/09\/nio-selects-nvidia-intelligent-electric-vehicles\/\" data-title=\"Adam and EV: NIO Selects NVIDIA for Intelligent, Electric Vehicles\">\n<p>Chinese electric automaker NIO will use NVIDIA DRIVE for advanced automated driving technology in its future fleets, marking the genesis of truly intelligent and personalized NIO vehicles.<\/p>\n<p>During a global reveal event, the EV maker took the wraps off its latest ET7 sedan, which starts shipping in 2022 and features a new NVIDIA-powered supercomputer, called Adam, that uses <a href=\"https:\/\/blogs.nvidia.com\/blog\/2019\/12\/17\/orin-soc\/\">NVIDIA DRIVE Orin<\/a> to deploy advanced automated driving technology.<\/p>\n<p>\u201cThe cooperation between NIO and NVIDIA will accelerate the development of autonomous driving on smart vehicles,\u201d said NIO CEO William Li. \u201cNIO\u2019s in-house developed autonomous driving algorithms will be running on four industry-leading NVIDIA Orin processors, delivering an unprecedented 1,000+ trillion operations per second in production cars.\u201d<\/p>\n<p>The announcement marks a major step toward the widespread adoption of intelligent, high-performance electric vehicles, improving standards for both the environment and road users.<\/p>\n<p>NIO has been a pioneer in China\u2019s premium smart electric vehicle market. Since 2014, the automaker has been leveraging NVIDIA for its seamless infotainment experience. And now, with NVIDIA DRIVE powering automated driving features in its future vehicles, NIO is set to redefine mobility with continuous improvement and personalization.<\/p>\n<p>\u201cAutonomy and electrification are the key forces transforming the automotive industry,\u201d said Jensen Huang, NVIDIA founder and CEO. \u201cWe are delighted to partner with NIO, a leader in the new energy vehicle revolution\u2014leveraging the power of AI to create the software-defined EV fleets of the future.\u201d<\/p>\n<h2><b>An Intelligent Creation<\/b><\/h2>\n<p>Software-defined and intelligent vehicles require a centralized, high-performance compute architecture to power AI features and continuously receive upgrades over the air.<\/p>\n<p>The new NIO Adam supercomputer is one of the most powerful platforms to run in a vehicle. With four NVIDIA DRIVE Orin processors, Adam achieves more than 1,000 TOPS of performance.<\/p>\n<p><a href=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2021\/01\/NIO-NVIDIA-4.png\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2021\/01\/NIO-NVIDIA-4-672x197.png\" alt=\"\" width=\"672\" height=\"197\"><\/a><\/p>\n<p>Orin is the world\u2019s highest-performance, most-advanced AV and robotics processor. This supercomputer on a chip is capable of delivering up to 254 TOPS to handle the large number of applications and deep neural networks that run simultaneously in autonomous vehicles and robots, while achieving systematic safety standards such as ISO 26262 ASIL-D.<\/p>\n<p>By using multiple SoCs, Adam integrates the redundancy and diversity necessary for safe autonomous operation. The first two SoCs process the 8 gigabytes of data produced by the vehicle\u2019s sensor set every second. The third Orin serves as a backup to ensure the system can still operate safely in any situation, while the fourth enables local training, improving the vehicle with fleet learning as well as personalizing the driving experience based on individual user preferences.<\/p>\n<p>With high-performance compute at its core, Adam is a major achievement in the creation of automotive intelligence and autonomous driving.<\/p>\n<h2><b>Meet the ET7<\/b><\/h2>\n<p>NIO took the wraps off its much-anticipated ET7 sedan \u2014 the production version of its original EVE concept first shown in 2017.<\/p>\n<p><a href=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2021\/01\/NIO-NVIDIA-5.png\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2021\/01\/NIO-NVIDIA-5-672x218.png\" alt=\"\" width=\"672\" height=\"218\"><\/a><\/p>\n<p>The flagship vehicle leapfrogs current model capabilities, with more than 600 miles of battery range and advanced autonomous driving. As the first vehicle equipped with Adam, the ET7 can perform point-to-point autonomy, leveraging 33 sensors and high-performance compute to continuously expand the domains in which it operates\u00a0 \u2014 from urban to highway driving to battery swap stations.<\/p>\n<p>The intelligent sedan ensures a seamless experience from the moment the driver approaches the car. With a highly accurate digital key and soft-closing doors, users can open the car with a gentle touch. Enhanced driver monitoring and voice recognition enable easy interaction with the vehicle. And sensors on the bottom of the ET7 detect the road surface so the vehicle can automatically adjust the suspension for a smoother ride.<\/p>\n<p>With AI now at the center of the NIO driving experience, the ET7 and upcoming NVIDIA-powered models are heralding the new generation of intelligent transportation.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>http:\/\/feedproxy.google.com\/~r\/nvidiablog\/~3\/NsoB8d2mV0o\/<\/p>\n","protected":false},"author":0,"featured_media":743,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/742"}],"collection":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/comments?post=742"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/742\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/743"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=742"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=742"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=742"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}