Episode 6 - Cut Simulation Costs: How to Choose the Right Cloud Machine
Join us live here for the Webinar Series: Run It with Inductiva.AI.
Many research teams spend more than they need to on cloud infrastructure for their physics simulations. The reason is simple: choosing the right machine is not straightforward. With multiple processor types, memory configurations, pricing models, and machine families to choose from, it’s easy to make decisions based on guesswork rather than data.
In this episode, we’ll show you why machine selection is harder than it looks, and how different “similar” machines can deliver very different cost and performance outcomes. We’ll also demonstrate how Inductiva.AI’s benchmarking tools can help you identify the most cost-efficient options for your workloads, so your research runs faster, and your budget goes further.
Whether you’re modeling fluid dynamics, electromagnetism, materials, energy systems, or quantum phenomena, you’ll learn practical ways to optimise performance while reducing costs.
What to expect
Why cloud machine selection is complex and how it impacts costs
Common misconceptions (e.g. bigger or newer machines aren’t always better)
Case studies showing how similar machines can produce very different results
How to use Inductiva’s Benchmarking Tool to make informed infrastructure choices
Q&A / Next Steps
Who should attend
Physicists, engineers, and scientists running simulations in research or product development
Python users scaling workloads to HPC/Cloud environments
Research teams and startups looking to maximise efficiency without added complexity
Technical leaders responsible for cost optimisation in R&D
Anyone interested in running high-performance simulations more efficiently in the cloud.
Reserve your spot and join us live!