Episode 5 - Scientific Computing on the Cloud, at scale, using Python
Join us live here for the Webinar Series: Run It with Inductiva.AI!
Want to supercharge your scientific simulations without having to submit projects to request access to HPC resources, writing SLURM scripts, or worrying about managing clusters yourself?
In this episode, we’ll show you how to run large-scale, high-performance simulations on the cloud from your laptop, using only simple Python scripts.
Whether you're modeling fluid dynamics, coastal systems, wind-energy facilities, or quantum phenomena, Inductiva.AI helps you scale your simulations seamlessly, using a modern, easy-to-use cloud-based scientific computing environment.
What to expect
Introduction to Inductiva’s Python interface for running scientific computing workflows
Hands-on-examples of running simulations in a few selected domains of engineering and science
Pointers to further examples on how to scale your simulations and on how to solve related use-cases such as generation of synthetic data to train your Physics-AI models.
Q&A / Next Steps
Want to explore ahead of the webinar or dive deeper? Check out our simulator documentation for a detailed guide.
Who should attend
Scientists and engineers using simulation software for research or product development
Python users looking to move into high-performance scientific computing
Research teams or startups who need scalable cloud-based infrastructure without the complexity
ML Engineers/Researchers working in the field of Physical-AI
Anyone interested in how cloud + Python is changing the way we do simulation
Reserve your spot and join us live!