Huang emphasized during his talk that HPC is moving quickly to the cloud and being asked to tackle ever larger job citing done as part a project to detect neutrinos (Ice Cube) in which 50K Nvidia GPUs were used.
He also argues that shortened time-to-completion for jobs, not CPU or GPU instance rates, was the metric of value and would be less expensive.That said, amid the showmanship there was substantial news.We’ve come to expect Nvidia CEO Jensen Huang’s annual SC keynote to contain stunning graphics and lively bravado (with plenty of examples) in support of GPU-accelerated computing. Also, many of the prior ecosystem shortcomings (tools, apps, etc) have been or will soon be solved.© 2020 HPCwire. In recent years, AI has joined the show. (I wanted to jump in and drive away).“There is a renaissance in high performance computing,” Huang said. “Breakthroughs in machine learning and AI are redefining scientific methods and enabling exciting opportunities for new architectures. One of this year’s images was a gorgeous yellow Lamborghini rendered by a single GeForce RTX graphics card (1 GPU) – a task that would have required a cluster of GPUs a few years ago. Jensen Huang, founder and CEO of Nvidia, says, “We are excited to work with Mercedes-Benz… Together, we’re going to revolutionize the car ownership experience.”It says, “Working together, the companies plan to develop the most sophisticated and advanced computing architecture ever deployed in an automobile.”As for how that will be done, the duo plans to offer over-the-air updates. Together, the duo will revolutionize what it means to say a car is “smart.”“Every future Mercedes-Benz with the Nvidia DRIVE system will come with a team of expert AI and software engineers continuously developing, refining and enhancing the car over its lifetime,” says Huang.The Burn-In is an interactive hub for tech enthusiasts featuring the latest news, product updates, and upcoming announcements from within the tech industry.Unlike some forms of technology, car owners who invest in a vehicle equipped with the new system won’t have to worry about it becoming outdated.The software-defined architecture will operate on Nvidia’s DRIVE platform. Gopal Hegde, VP/GM, Server Processor Business Unit, for Arm chip designer Marvel which collaborated with Nvidia on the Cuda work, estimates the power reduction advantage is 15-to-18 percent on comparable chips. We’ve come to expect Nvidia CEO Jensen Huang’s annual SC keynote to contain stunning graphics and lively bravado (with plenty of examples) in support of GPU-accelerated computing. It also sets an example for other automotive computing companies and suggests that driving is only going to get smarter.© 2020 Sourceability LLC. A Tabor Communications Publication Nvidia GPUs, of course, are in many clouds. It’s similar to how Tesla currently sells upgrades to its Enhanced Autopilot.For those interested in owning a Mercedes-Benz in the near future, the partnership with Nvidia is game-changing. This will allow customers to buy and install additional safety features, apps, and subscriptions. He co-founded the graphics-processor company Nvidia in 1993 and has been its president and chief executive officer (CEO) since inception. In other words, the car will be able to park without help from its human driver in almost every scenario.Their system will continue to evolve and get better as self-driving technology improves in the years ahead. Based on early results, the functionality of this Arm-hosted accelerated computing ecosystem appears to be already on par with the POWER and x86 environments.”HPCwire is a registered trademark of Tabor Communications, Inc. Use of this site is governed by our Terms of Use and Privacy Policy.Be the most informed person in the room! Notably, it will be a standard feature in Mercedes-Benz’s next-gen fleet of vehicles.The new system will also introduce things like Level 4 parking autonomy.