Our Insights

In this edition of Collaborative Insights, we’re proud to share a project developed with Rui Coelho, Principal Investigator at IPMA (Portuguese Institute for the Ocean and Atmosphere). Rui and his team used Inductiva’s cloud-based HPC platform to dramatically accelerate their work in stock assessment modeling for the South Atlantic shortfin mako shark—a species whose conservation depends on rigorous science and timely insights.

The Inductiva Team

Rui Coelho (IPMA, Principal Investigator)

At Inductiva.AI, our mission is to empower engineers and scientists to solve complex physical problems at scale. Recently, we partnered with the Porto Space Team, a student rocketry group designing a novel airbrake system for their EuRoC competition rocket, a project requiring advanced CFD (Computational Fluid Dynamics) analyses over a wide transonic regime.

The Inductiva Team

Porto Space Team

Inductiva joined the 1st OpenFOAM HPC Challenge to test how cloud infrastructure stacks up against traditional HPC for large-scale CFD simulations. Running the DrivAer automotive benchmark, the team explored multiple hardware setups, hyperthreading choices, and domain decomposition strategies. The results? Inductiva’s flexible MPI clusters handled up to 768 partitions with impressive price-performance—even outperforming pricier hardware in some cases. For simulations below massive supercomputer scales, cloud HPC proves not only competitive but cost-effective, offering engineers and researchers agility without sacrificing speed. Curious how to fine-tune your OpenFOAM workloads in the cloud? Dive into the benchmarks and see what’s possible.

Luís Sarmento