While i always knew this day would come soon, but am surprised that it came fast and so integrated already with AI/ML too. Refer my conclusive statements in my blog CAD & PDM @ Cloud in 2022.
Revolutionizing Engineering Simulations with Cloud & AI
Engineering simulations are critical tools in modern design and analysis workflows, enabling the prediction and validation of complex systems before physical prototypes are built. However, traditional simulations especially Computational Fluid Dynamics (CFD) and aero-thermal simulations are often resource-intensive, requiring significant computational power, time, and expertise. The convergence of cloud computing, GPU acceleration, and AI/ML technologies is addressing these challenges, offering a transformative approach to simulations.
Luminary cloud, among others, exemplifies this shift, showcasing how cloud-native platforms can redefine engineering simulations.
Cloud-native platforms such as Luminary Cloud enable engineers to perform high-fidelity simulations directly through a web browser. This approach eliminates the need for specialized on-premises hardware, offering a scalable, accessible, and efficient alternative to traditional methods. By leveraging advanced GPUs and cloud infrastructure, these platforms significantly reduce simulation times while maintaining accuracy.
For example, Luminary Cloud’s integration with NVIDIA Omniverse Blueprints demonstrates the potential of real-time digital twins. These dynamic simulations allow engineers to visualize, interact with, and refine designs in real time, enhancing both innovation and collaboration.
To better understand this technology, explore the following video:
Demo
Also try out this Cool Interactive Demo for yourselves. if you have dealt with windtunnel for cars or even for any large industrial products, you would surely appreciate what a promise this is.
You could read more on the architecture and details at this NVIDIA Blog.
The Role of Emerging Technologies
The evolution of cloud-based simulation is driven by several key technological advancements:
Cloud Computing: On-demand access to scalable resources minimizes the reliance on costly physical infrastructure and enables simulations of varying complexity.
GPU Acceleration: High-performance GPUs facilitate rapid computation, enabling the handling of intricate models and reducing simulation runtimes from days to hours or minutes.
AI/ML Integration: Artificial intelligence and machine learning enhance simulation processes by automating tasks such as mesh generation, optimizing design parameters, and improving result accuracy. Take a look at NVIDIA Modulus for CFD.
These advancements are particularly impactful for CFD and aero-thermal simulations, which involve solving complex equations that model fluid dynamics and heat transfer phenomena.
Balancing Potential and Practicality
While cloud-based platforms address many limitations, they are not without challenges. For example:
Data Transfer Costs: Large simulation models require significant bandwidth, which can lead to higher operational costs.
Learning Curve: Transitioning from traditional software to cloud-based tools requires training and adaptation.
Dependence on Providers: Users are reliant on the availability and pricing of cloud service providers, which could affect long-term planning.
Despite these considerations, the benefits of cloud-native simulations often outweigh the challenges, particularly for applications requiring rapid iterations and collaboration.
Imagine the next wave, integrated, CAD, PDM, CAE and manufacturing with AI on top! Initial promises already exists e.g Fusion 360
Call to Action
What’s your take on cloud and AI based engineering simulations? What do you think of the demo? Eager to know your comments @LinkedIn!