# Nvidia's open-source simulator trains surgical robots in under two minutes AI-powered simulations are revolutionizing medical robotics with unprecedented speed. - **Source:** [The Next Web](https://brifing.si/source/afe24b20-b275-4c19-b9a6-8bb3c8babae7) - **Published:** 2026-07-23 - **Topic:** [Data & AI](https://brifing.si/c/data-ai) - **Original article:** - **On Brifing:** https://brifing.si/s/97e67837-817f-4514-a474-cc78ecbfade8 ## New era in medical robotics Nvidia has announced an open-source simulation framework that dramatically accelerates surgical robot training. The Medical Physics Simulation system enables millions of virtual trials without needing real patients, transforming how robots learn delicate procedures. ## From 5 hours to 2 minutes Nvidia's GPU-powered solution reduces robotic policy training time from over five hours to just two minutes by running 8,192 parallel training environments. This represents a quantum leap in surgical robot development efficiency. ## Fusion of two physics approaches The system combines classical physics engines for instrument-anatomy interactions with the Cosmos-H Dreams AI model that predicts complex processes like soft tissue deformation. It can even generate simulated fluoroscopy and ultrasound imaging. ## Industry giants onboard Surgical robotics leaders like Medtronic, Johnson & Johnson MedTech, and CMR Surgical are already using this framework for digital twins and endovascular training. CMR Surgical's CTO highlights how open models accelerate responsible innovation through shared knowledge. ## Nvidia's strategic play The open-source approach serves a smart strategy: positioning Nvidia as the standard infrastructure provider for surgical robotics. With all simulations running on Nvidia GPUs, the company strengthens its hardware dominance in this emerging field. ## Regulatory approval remains key While simulations represent a breakthrough, virtual success must translate to real operating rooms. How much synthetic evidence regulators will accept will be the critical factor determining this technology's future adoption in healthcare. ## Sources covering this story - https://thenextweb.com/news/nvidia-isaac-medical-physics-simulation-surgical-robots — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._