Veteran Nvidia says physical AI is more than robots as he invests
ai-safety nvidia robotics
| Source: TechCrunch | Original article
A former NVIDIA robotics product marketing head, now investing in physical AI, says the sector is in a Lego era as basic components are being rebuilt.
Amulda Vishwanath, a former head of product marketing for NVIDIA’s robotics platforms, has announced the launch of a venture‑capital fund dedicated to “Physical AI.” In an interview with Equity and TechCrunch, the former NVIDIA executive described the current state of robotics as a “Lego era,” where core components such as actuators, robotic hands, software stacks and safety standards are still being rebuilt from the ground up. Vishwanath argues that the real opportunity lies not in a single “ChatGPT moment” for robots but in reconstructing these foundational building blocks, and that the scope of Physical AI extends well beyond traditional robotic systems.
The announcement matters because it signals a shift in capital allocation from high‑level AI services toward the hardware and infrastructure that enable machines to interact with the physical world. By framing robotics as a set of modular, interchangeable parts, Vishwanath’s fund could accelerate the development of standardized components, lower entry barriers for startups, and spur competition among suppliers of actuators, grippers and safety‑critical software. The move also reflects a broader industry recognition that progress in embodied AI will depend on robust, interoperable hardware ecosystems as much as on advances in language models.
Investors and industry watchers should monitor the first cohort of companies that receive backing from the fund, especially those targeting modular actuator designs, open‑source safety protocols and plug‑and‑play robotic hands. Attention will also turn to how established players in the AI hardware space—such as NVIDIA, Microsoft and emerging vision‑language‑action platforms—respond to a potential surge in demand for standardized physical components. The evolution of Vishwanath’s “Physical AI” portfolio could shape the next wave of embodied intelligence, setting the pace for how quickly robots move from prototype to widespread commercial use.
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