As NVIDIA Blog outlines, the framework's potential to slash training times from hours to minutes is compelling, but the announcement arguably glosses over the harder challenges of simulation-to-reality transfer. The success of such tools hinges not just on raw simulation speed but on the fidelity of the physics and anatomy models, which remain areas of active research. The open-source play appears strategically savvy, aiming to lock in NVIDIA's hardware and software stack as the de facto platform for a nascent but capital-intensive industry, while offloading some of the model-validation burden onto the community.