Physical AI is increasingly popular in applications requiring real-time decision making and autonomous operation. Different from NPUs for cloud platforms, Physical AI processors can be made application-specific. By jointly tuning their ISA and memory architecture to the network models required by the application, power
Hardik Kabaria is the founder and CEO of Vinci, a frontier lab building systems that make physical reality continuously computable.
While software has become programmable, physics has remained episodic—accessed through discrete simulations and approximations. Vinci is changing that. Under Kabaria’s leadership, the company
Physical AI is changing how intelligent systems interact with the real world. These systems must sense, process, and respond to data in real time. Unlike cloud AI, Physical AI depends on fast local processing and reliable distributed communication. This shift creates a new challenge. Systems must move large volumes of sensor… Read More
At the 2025 NVIDIA GTC Conference, CEO Jensen Huang delivered a sweeping keynote that painted the future of computing in bold strokes: a world powered by AI factories, built on accelerated computing, and driven by agentic, embodied AI capable of interacting with the physical world. He introduced the concept of Physical AI—intelligence… Read More
