Physical AI is rapidly moving from research labs into real-world systems, powering autonomous vehicles, robotics, drones, and industrial twins. The volume of physical AI data is exploding—projected to surpass the language data used to train LLMs—and creating a major challenge: turning all that messy, multimodal sensor data into clean, realistic simulations that
AI models can actually learn from.
Without a well-orchestrated data pipeline, even the most sophisticated simulation tools end up using bad or incomplete data—wasting weeks of work and millions of dollars on testing and compute.
See it live at GTC DC
Join us at
GTC DC as we demonstrate how NVIDIA’s Physical AI stack, integrated with Voxel51, accelerates data-centric development. You’ll see how raw sensor captures can be transformed into high-fidelity 3D scenes, adapted across domains, and prepared for model training and validation with Voxel51 and NVIDIA tools.
In a live demo at our booth, we’ll show:
- A real driving scene reconstructed with NVIDIA Omniverse NuRec
- Scene transformations in NVIDIA Cosmos Transfer to simulate weather conditions
- Full visualization, auditing, and analysis directly inside Voxel51’s FiftyOne data engine
Tune In: Exclusive launch event - Nov 5 @9am PT
Join us on Nov 5 @9 AM PT for the official launch of this joint work between NVIDIA and Voxel51. In this live webinar, we’ll take you deeper into the end-to-end workflow and show how these technologies redefine the boundaries between real and synthetic data.
