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Luminary Cloud Accelerates Engineering Simulations with NVIDIA GPUs
The post Luminary Cloud Accelerates Engineering Simulations with NVIDIA GPUs appeared on BitcoinEthereumNews.com. Caroline Bishop Jul 28, 2024 10:20 Luminary Cloud leverages NVIDIA GPUs to speed up engineering simulations, addressing industry challenges and enhancing productivity. 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. Challenges in Computational Fluid Dynamics 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. Simulation turnaround time: Many CFD projects require weeks or even months to complete. Simulation robustness: Improvements are needed in automatic meshing capabilities and price-performance ratios. Model preparation: Setting up CFD simulations can be time-intensive, taking months in some cases. Cost: High license costs are a significant barrier, with budget constraints being a major challenge for many organizations. Accelerated Simulation with NVIDIA GPUs NVIDIA GPUs have revolutionized various fields, including quantum computing, climate science, and artificial intelligence, 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. High-Performance Computing in the Cloud 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…
The post Luminary Cloud Accelerates Engineering Simulations with NVIDIA GPUs appeared on BitcoinEthereumNews.com.
Caroline Bishop Jul 28, 2024 10:20 Luminary Cloud leverages NVIDIA GPUs to speed up engineering simulations, addressing industry challenges and enhancing productivity. 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. Challenges in Computational Fluid Dynamics 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. Simulation turnaround time: Many CFD projects require weeks or even months to complete. Simulation robustness: Improvements are needed in automatic meshing capabilities and price-performance ratios. Model preparation: Setting up CFD simulations can be time-intensive, taking months in some cases. Cost: High license costs are a significant barrier, with budget constraints being a major challenge for many organizations. Accelerated Simulation with NVIDIA GPUs NVIDIA GPUs have revolutionized various fields, including quantum computing, climate science, and artificial intelligence, 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. High-Performance Computing in the Cloud 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…
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