\n <\/p>\n
<\/p>\n Luminary Cloud leverages NVIDIA GPUs to speed up engineering simulations, addressing industry challenges and enhancing productivity.<\/p>\n
Engineering simulation is a critical tool used across various industries to accelerate product development, enhance safety, and optimize designs. However, these simulations typically require substantial high-performance computing (HPC) resources and can be time-consuming. Luminary Cloud, a member of the NVIDIA Inception program, aims to address these challenges by utilizing cloud and NVIDIA GPU technologies to expedite these processes.<\/p>\n Computational fluid dynamics (CFD) plays a significant role in engineering and scientific advancements. However, several challenges hinder its widespread adoption. A recent survey highlights these issues, including lengthy simulation turnaround times, the need for improved simulation robustness and accuracy, inefficient model preparation, and high costs.<\/p>\n
<\/p>\n
<\/p>\n
<\/p>\n
\n<\/ul>\n NVIDIA GPUs have revolutionized various fields, including quantum computing, climate science, and artificial intelligence<\/dfn><\/i><\/b><\/u><\/a>, by providing processing speeds up to 1,000 times faster than CPU-only processing. In CFD, the acceleration can be over 30 times faster than traditional CPU-based computing. This advancement has significantly reduced the time required for complex simulations.<\/p>\n Access to HPC resources is a common challenge in CFD. The cloud offers a solution by providing scalable and efficient HPC resources that can be accessed as needed. This approach increases cost efficiency, reduces time-to-market, and allows companies to leverage the latest hardware, such as NVIDIA GPUs, without the need for in-house infrastructure.<\/p>\n Luminary Cloud offers a multi-physics solution supporting CFD for fluid-flow physics and conjugate heat transfer (CHT) for thermal management. The platform leverages cloud-based SaaS and multi-node NVIDIA GPU accelerated computing to provide a near-real-time engineering experience. Lumi AI, an AI-based engineering design copilot, further enhances efficiency by automating mesh generation and adapting computational meshes for higher accuracy.<\/p>\n In a demonstration, Luminary Cloud ran 20 parallel simulations with 40 million control volumes each, completing them in under two minutes using a modest number of GPUs. Another simulation involving a full aircraft geometry with 150 million control volumes was completed in about seven minutes using 40 NVIDIA A100 GPUs, a task that would have taken several hours with traditional methods.<\/p>\n Joby Aviation has benefited significantly from Luminary Cloud\u2019s platform and NVIDIA GPUs. The platform has enabled Joby to rapidly iterate on designs, reducing the time required for essential redesigns and expediting the regulatory approval process. This efficiency is crucial in the competitive market of electric air taxis.<\/p>\n \u201cYou can take complete aircraft configurations and run them in a matter of minutes. It allows a level of confidence that was unprecedented before. You can quickly say \u2018Yes, this will or will not work,\u2019\u201d explained Joby Chief Aerodynamicist Gregor Miki\u0107.<\/p>\n Luminary Cloud\u2019s solution offers a novel, real-time engineering experience, facilitating highly interactive simulations that expedite engineering processes. The platform supports various modeling approaches, allowing users to select the appropriate accuracy level for their projects. Its user-friendly interface ensures a seamless experience, enhancing productivity and enabling exploration of new frontiers in computational engineering.<\/p>\n For more information about Luminary Cloud<\/a>, visit the NVIDIA Technical Blog<\/a>.<\/p>\n
\n Caroline Bishop<\/a>
\n Jul 28, 2024 10:20<\/span>
\n <\/p>\n
\n
\n ![\"Luminary](\"https:\/\/image.blockchain.news:443\/features\/D8E08E86F8EDBDDCD68414CF49BDD8B1401B11A69515DFF98E6B2B03EE9CF9D7.jpg\")
\n <\/a>
\n <\/figure>\nChallenges in Computational Fluid Dynamics<\/h2>\n
<\/p>\n
Accelerated Simulation with NVIDIA GPUs<\/h2>\n
High-Performance Computing in the Cloud<\/h2>\n
Luminary Cloud\u2019s Innovative Solution<\/h2>\n
Case Study: Joby Aviation<\/h2>\n
Benefits of Cloud-Based CAE<\/h2>\n