![]() ![]() ![]() All the goodness and appeal of centralized computing comes in tandem, covered extensively in the column over recent years (here, here, and here). Finally, Omniverse rests on a centralized computing topology, with users accessing the environment remotely via datacenter-resident workstations, either virtually or physically configured. A second attribute, arguably the linchpin to the efficacy and appeal of the approach, is the platform’s reliance on a common, open standards-compliant model description, one that can be created and edited by popular CAD tools, the same tools that in a traditional client-side environment would mean umpteen different versions of - and conversions between - models and ancillary data formats.Ĭentralized computing environment. ![]() Whatever’s there is guaranteed to be the latest, most up-to-date version of the database. That means all contributors operate on the one database - no more multiple copies scattered across many users and locations, wasted transfer time and bandwidth, and error-prone coherency issues while managing disparate versions. One critical attribute of Omniverse - and a priority goal for moving to a centralized computing environment - is that in this case, there is specifically one twin mirroring the eventual, or even concurrent, physical implementation. As with today’s 3D CAD methodologies, the platform’s goal is to enable creation of a true digital twin, a virtual replica with associated design information, perfectly faithful to the eventual physical implementation. The Omniverse platform is founded on a centralized, cloud-based topology, where one model, one database, in one format is shared, accessed, modified, and verified by staff that may potentially be scattered across the globe. Omniverse creates a remote, virtual real-time collaboration environment, built on popular applications and standard model descriptions (image source: NVIDIA). A virtual, cloud-centric 3D design environment, Omniverse enables remote visualization, collaboration, and simulation seamlessly across multiple geographic sites and applications. While the new RTX-branded products didn’t get attention individually in the keynote, the RTX technology foundation of those GPUs did, as a key component to an expansive and ambitious initiative, Omniverse. We discuss the new RTX products in part 2 of our report. ![]() While Huang’s keynote may not have focused on GPUs per se, it did present an exciting, holistic vision for the future of 3D visual computing built on the company’s expanding line of RTX GPUs: Omniverse, a centralized platform enabling global collaboration and encompassing the breadth of CAD-oriented workflows, particularly in AEC, design, and manufacturing. For good reason, it turns out, as even 90 minutes proved precious little time to cover the impressive breadth of NVIDIA’s initiatives across the computing landscape. Not so this year, as the launch of a wide range of new GPUs - from fixed to mobile client to datacenter - did not get so much as a mention in CEO Jensen Huang’s 90-minute keynote. Still though, a new graphics chip architecture or GPU product launch always managed to get its share of airtime. The vibe and messaging of the annual GTC reflected NVIDIA’s evolution, with GPU compute, supercomputing, automotive and machine learning taking an ever-increasing share of the limelight. The pace of expansion should only grow in the near future, thanks to the recent substantial acquisition of Mellanox and the huge, still-possible impending acquisition of ARM. Starting out as a graphics accelerator chip vendor (we didn’t even call them GPUs back then!) nearly 30 years ago, the company now has it fingers in virtually every corner of the world’s high-performance computing markets. NVIDIA’s business breadth and focus has evolved over the years. NVIDIA’s Omniverse Platform: Game-Changing Potential for Large-Scale CAD 21 Apr, 2021 By: Alex Herrera Annual GTC ’21 Show Report, Part 1: NVIDIA unveils Omniverse along with new RTX GPUs to support the platform. ![]()
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