When AI demand outpaces chip supply for years, the companies that win will be those who can maximize the efficiency of existing resources.

Simulation Theory is passionate about moving the future of compute forward by unlocking the unused potential left idle by applications not built for modern parallel computing. Our Thunder SDK manages the complexity of scheduling work efficiently while allowing engineers the flexibility to design bespoke solutions that best serve their compute needs.

In this age of digital optimization, we must revisit the axiom that we can build our way out of the problem of inefficient software by adding more hardware. High-end components are prohibitively expensive and increasingly difficult to source. Newly built data centers quickly stretch the power and water resources of their local communities to the breaking point. We must innovate our way into the future by refocusing on the latent capabilities of existing hardware.

Our core team has collectively spent over a century deep diving into hardware architecture, programming languages, and threading models to develop this SDK that enables businesses to build modern, efficient applications. We remove the complexity surrounding multi-threaded development and allow engineers to focus on solving their unique challenges.