{"id":2139,"date":"2022-05-30T10:40:27","date_gmt":"2022-05-30T10:40:27","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2022\/05\/30\/hyperscale-digital-twins-to-give-us-amazing-superpowers-nvidia-exec-says-at-isc-2022\/"},"modified":"2022-05-30T10:40:27","modified_gmt":"2022-05-30T10:40:27","slug":"hyperscale-digital-twins-to-give-us-amazing-superpowers-nvidia-exec-says-at-isc-2022","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2022\/05\/30\/hyperscale-digital-twins-to-give-us-amazing-superpowers-nvidia-exec-says-at-isc-2022\/","title":{"rendered":"Hyperscale Digital Twins to Give Us \u201cAmazing Superpowers,\u201d NVIDIA Exec Says at ISC 2022"},"content":{"rendered":"<div data-url=\"https:\/\/blogs.nvidia.com\/blog\/2022\/05\/30\/isc-digital-twins\/\" data-title=\"Hyperscale Digital Twins to Give Us \u201cAmazing Superpowers,\u201d NVIDIA Exec Says at ISC 2022\" data-hashtags=\"AI,DigitalTwins,ISC,NVIDIA,NVIDIAOmniverse\">\n<p>Highly accurate digital representations of physical objects or systems, or \u201c<a href=\"https:\/\/blogs.nvidia.com\/blog\/2021\/12\/14\/what-is-a-digital-twin\/\">digital twins<\/a>,\u201d will enable the next era of industrial virtualization and AI, executives from NVIDIA and BMW said Tuesday.<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/05\/Rev-Lebaredian-ISC-297x400.png\" alt=\"\" width=\"261\" height=\"352\"><\/p>\n<p>Kicking off the ISC 2022 conference in Hamburg, Germany, NVIDIA\u2019s Rev Lebaredian (left), vice president for Omniverse and simulation technology, was joined by Michele Melchiorre, senior vice president for product system, technical planning, and tool shop at BMW Group.<\/p>\n<p>\u201cIf you can construct a virtual world that matches the real world in its complexity, in its scale and in its precision, then there are a great many things you can do with this,\u201d Lebaredian said.<\/p>\n<p>While Lebaredian outlined the broad trends and technological advancements driving the evolution of digital twin simulations, Melchiorre offered a detailed look at <a href=\"https:\/\/blogs.nvidia.com\/blog\/2021\/04\/13\/nvidia-bmw-factory-future\/\">how BMW has put digital twins to work in its own factories<\/a>.<\/p>\n<p>Melchiorre explained BMW\u2019s plans to use digital twins as a tool to become more \u201clean, green and digital,\u201d describing real-time collaboration with digital twins and opportunities for training AIs as a \u201crevolution in factory planning.\u201d<\/p>\n<p>Digital twins such as the BMW iFACTORY initiative described by Melchiorre \u2014 which harnesses real-time data, simulation and machine learning \u2014 are an example of how swiftly digital twins have become workhorses for industrial companies such as Amazon Robotics, BMW and others.<\/p>\n<p>These systems will link our representations of the world with data streaming in, in real-time, from these worlds, <span>Lebaredian explained.<\/span><\/p>\n<p>\u201cWhat we\u2019re trying to introduce now is a mechanism by which we can link the two together, where we can detect all the changes in the physical version, and reflect them in the digital world,\u201d Lebaredian said. \u201cIf we can establish that link we gain some amazing superpowers.\u201d<\/p>\n<h2>Supercomputing Is Transforming Every Field of Discovery<\/h2>\n<p>And it\u2019s another powerful example of how technologies from the supercomputing industry \u2014 particularly its focus on simulation and data center scale GPU computing \u2014 are spilling over into the broader world.<\/p>\n<p>At the same time, converging technologies have transformed high-performance computing, Lebaredian said. GPU-accelerated systems have become a mainstay not just in scientific computing, but edge computing, data centers and cloud systems.<\/p>\n<figure id=\"attachment_57407\" aria-describedby=\"caption-attachment-57407\" class=\"wp-caption aligncenter\">\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/05\/ISC-REV-672x455.jpg\" alt=\"\" width=\"672\" height=\"455\"><figcaption id=\"caption-attachment-57407\" class=\"wp-caption-text\">NVIDIA\u2019s Rev Lebaredian, vice president for Omniverse and simulation technology, speaking at ISC 2022.<\/figcaption><\/figure>\n<p>And AI-accelerated GPU computing has also become a cornerstone of modern high-performance computing. That\u2019s positioned supercomputing to realize the original intent of computer graphics: simulation.<\/p>\n<p>Computers, algorithms and AI have all matured enough that we can begin simulating worlds that are complex enough to be useful on an industrial scale, even using these simulations as training grounds for AI.<\/p>\n<h2>World Simulation at an Inflection Point<\/h2>\n<p>With digital twins, a new class of simulation is possible, Lebaredian said.<\/p>\n<p>These require precision timing \u2014 the ability to simulate multiple autonomous systems at the same time.<\/p>\n<p>They require physically accurate simulation.<\/p>\n<p>And they require accurate ingestion of information from the \u201creal twin,\u201d and continuous synchronization.<\/p>\n<p>These digital twin simulations will give us \u201csuperpowers.\u201d<\/p>\n<p>The first one Lebaradian dug into was teleportation. \u201cJust like in a multiplayer video game any human anywhere on earth can teleport into that virtual world,\u201d Lebaradian said.<\/p>\n<p>The next: time travel.<\/p>\n<p>\u201cIf you record the state of the world over time, you can recall it at any point, this allows time travel,\u201d Lebaradian said.<\/p>\n<p>\u201cYou can not only now teleport to that world, but you can scrub your timeline and go backwards to any point in time, and explore that space at any point in time,\u201d he added.<\/p>\n<p>And, finally, these simulations, if accurate enough, will let us understand what\u2019s next.<\/p>\n<p>\u201cIf you have a simulator that is extremely accurate and actually predictive of what will happen in the future if you understand the laws of physics well enough you essentially get time travel to the future,\u201d Lebaredian said.<\/p>\n<p>\u201cYou can compute not just one possible future, but many possible futures,\u201d he added, outlining how this could let city planners see what could happen as they modify a city, plan the road and change the traffic systems to find \u201cthe best possible future.\u201d<\/p>\n<p>Modern supercomputing is unlocking these digital twins, which are extremely compute-intensive and require precision timing networking with extremely low latency.<\/p>\n<p>\u201cWe need a new kind of supercomputer, one that can really accelerate artificial intelligence and run these massive simulations in true real-time,\u201d Lebaradian said.<\/p>\n<p>That will require GPU-accelerated systems that are optimized at every layer of the system to enable precision timing.<\/p>\n<p>These systems will need to run not just on the data center, but reach the edge of networks to bring data into virtual simulations with precision timing.<\/p>\n<p>Such systems will be key to advances on scales both small \u2014 such as drug discovery, and large \u2014 such as climate simulation.<\/p>\n<p>\u201cWe need to simulate our climate we need to look really far out, we need to do so at a precision that\u2019s never been done before, and we need to be able to trust our simulations are actually predictive and accurate, if we do that we have some hope we can deal with this climate change situation,\u201d Lebaradian said.<\/p>\n<h2>BMW\u2019s iFACTORY: \u201cLean, Green and Digital\u201d<\/h2>\n<p>BMW\u2019s Melchiorre provided an example of how this broad vision is being put to work today at BMW, as the automaker seeks to become \u201clean, green and digital.\u201d<\/p>\n<figure id=\"attachment_57410\" aria-describedby=\"caption-attachment-57410\" class=\"wp-caption aligncenter\">\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/05\/isc-bmw-672x358.jpg\" alt=\"\" width=\"672\" height=\"358\"><figcaption id=\"caption-attachment-57410\" class=\"wp-caption-text\">Michelle Melchiorre, senior vice president for product system, technical planning, and tool shop at BMW Group.<\/figcaption><\/figure>\n<p><a href=\"https:\/\/blogs.nvidia.com\/blog\/2021\/04\/13\/nvidia-bmw-factory-future\/\">BMW has built exceptionally complex digital twins<\/a>, simulating its factories with humans and robots interacting in the same space, at the same time.<\/p>\n<p>It\u2019s an effort that stretches from the factory floor to the company\u2019s data center, to its entire supply chain. This digital twin involves millions of moving parts and pieces that are connected to an enormous supply chain.<\/p>\n<p>Melchiorre walked his audience through a number of examples of how digital twins simulate various pieces of the plant, simulating how industrial machinery, robots, and people will move together.<\/p>\n<figure id=\"attachment_57400\" aria-describedby=\"caption-attachment-57400\" class=\"wp-caption aligncenter\">\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/05\/digital-twin-bmw.png\" alt=\"\" width=\"624\" height=\"332\"><figcaption id=\"caption-attachment-57400\" class=\"wp-caption-text\">Inside the digital twin of BMW\u2019s assembly system, powered by Omniverse, an entire factory in simulation.<\/figcaption><\/figure>\n<p>And he explained how they are leveraging NVIDIA technology to simulate entire factories before they\u2019re even built.<\/p>\n<p>Melchiorre showed an aerial image of the site where BMW is building a new factory in Hungary. While the real-world factory is still mostly open field, the digital factory is 80% complete.<\/p>\n<p>\u201cThis will be the first plant where we will have a complete digital twin much before production starts,\u201d Melchiorre said.<\/p>\n<p>In the future, the iFACTORY will be real in all of BMW\u2019s plants, Melchiorre explained, from BMW\u2019s 100-year-old home plant in Munich to its forthcoming plant in Debrecen, Hungary.\u200b<\/p>\n<p>\u201cThis is our production network, not just one factory \u2013 each and every plant will go in this direction, every plant will develop into a BMW iFACTORY, this is our master plan for our future,\u201d Melchiorre said.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>https:\/\/blogs.nvidia.com\/blog\/2022\/05\/30\/isc-digital-twins\/<\/p>\n","protected":false},"author":0,"featured_media":2140,"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\/2139"}],"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=2139"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/2139\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/2140"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=2139"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=2139"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=2139"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}