Our Insights

Everyone’s talking about LLMs, but the real next wave is AI for the physical world—AI that understands fluid dynamics, thermodynamics, electromagnetism, and even quantum physics. From breakthroughs like DeepMind’s AlphaFold in protein folding to NVIDIA’s AI weather forecasting, industries from renewable energy to materials science are being transformed. But experimental data isn’t always enough; numerical simulations are crucial to generate high-quality datasets that power scientific AI. At Inductiva.AI, we’re offering a computational platform to democratize physics dataset generation, combining open-source simulators with cloud HPC, making it as easy as running a Python script. Explore how AI and scientific computing are converging—and what it means for the future of innovation.

Hugo Penedones

The Inductiva API v0.5 release brings two New Simulators, Up-to-date GCP pricing information, additional features on Command Line Interface, more Metrics and Benchmarks, a Template Manager and more revamped Documentation. Additionally we are open sourcing all the scientific software containers we are using in our backend - Project KUTU.

Hugo Penedones

Luís Sarmento

The Inductiva API v0.4 release brings MPI clusters, the latest Google Cloud CPUs, two new simulators, a lighter Python package, a CLI interface, a template engine and totally revamped documentation. Get started in minutes!

Hugo Penedones

Luís Sarmento

Coastal engineering projects protect the coast from erosion, flooding and other events. Due to their cost, the design phase of these projects is heavily based on computational simulations. In this blog post, we enlighten how Inductiva API allowed researchers to scale their coastal engineering simulations.

Ivan Pombo

Luís Sarmento