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

Dive into the "Allocation Problem" in cloud computing and see how Inductiva’s benchmarking tools help you make better-informed decisions for performance and cost optimization.

Luís Sarmento

Maya Hershey

Explore the new renaissance in chip design as hyperscalers like Amazon, Google, and Microsoft transform the industry. Discover the economic and technological shifts shaping the future of computing and what it means for engineers, scientists, and the chip ecosystem.

Luís Sarmento

Maya Hershey

Level up your Physics-ML models with high-quality and diverse synthetic data using Inductiva’s Cloud-Based Simulation API.

Maya Hershey

Luís Sarmento

Discover how you can tap into Inductiva API´s functionalities to package and share your complex simulation applications, allowing others to make use of them without requiring in-depth domain knowledge or having to set up their own computational resources.

Maya Hershey

Rodrigo Valério

Hugo Penedones

Luís Sarmento

We are thrilled to introduce the Genesis Program, an exciting initiative by Inductiva.AI offering students, researchers and engineers exclusive one-month access to our powerful Python API.

Luís Sarmento

Clara Gonçalves