Nvidia Corp. (NVDA) shares surged just over 2% Thursday following the announcement that Ernst & Young (EY) has launched a new physical AI platform.
The collaboration leverages Nvidia’s high-performance computing infrastructure to help enterprises deploy AI systems for robots, drones, and edge devices. The move underscores growing investor optimism about Nvidia’s role in enabling AI-driven automation across multiple industries.
NVIDIA Corporation, NVDA
EY’s Alpharetta, Georgia lab is the company’s first globally dedicated facility for physical AI, offering a hub for prototyping, testing, and deploying robotics and automation solutions.
The platform is designed to cover synthetic data generation, digital twin simulations, and safety frameworks for AI deployment, providing enterprises with a controlled environment to develop real-world AI applications.
EY appointed Dr. Youngjun Choi, formerly head of the UPS Robotics AI Lab, as the global leader for robotics and physical AI. Dr. Choi’s experience in developing advanced robotic systems positions EY to accelerate client adoption of AI-driven automation. While specific commercial outcomes from his prior work are not disclosed, his leadership highlights EY’s commitment to combining consulting expertise with cutting-edge AI technologies.
The collaboration utilizes Nvidia’s Omniverse and Isaac platforms, enabling organizations to simulate, optimize, and safely implement robotics solutions at scale.
Although EY has not released detailed metrics on pilot projects or lab throughput, the partnership signals a strategic alignment that may enhance AI deployment across industrial, energy, consumer, and healthcare sectors.
The physical AI platform opens doors for vendors in digital twins, edge machine learning operations, and industrial AI compliance.
EY’s alliance approach, modeled on collaborations with UiPath and Microsoft, facilitates integration for companies offering robotics content libraries, sensor fusion middleware, or operational technology security tools. The platform could accelerate enterprise adoption of automation while maintaining robust safety and compliance standards.
EY’s lab and physical AI platform position the company to test and refine AI solutions before enterprise rollout. For Nvidia, the collaboration reinforces its influence in AI infrastructure and cements its role as a critical enabler of robotics and edge AI adoption.
As investor confidence grows, the stock surge reflects optimism about the company’s expanding footprint in enterprise AI solutions.
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