NVIDIA has introduced a method using AI agents to accelerate the development of lightweight OpenUSD runtimes. This approach addresses the traditional difficulty of adapting large existing codebases for teams requiring specific memory footprints.
The solution enables developers to build custom implementations more efficiently without the overhead of full-scale adaptations.
This tooling helps teams integrate CAD data, simulation assets, and real-world telemetry into shared, physically accurate views of the world with reduced resource constraints.