🚧 Physical AI - Constraints

Unlike LLM based products like chatbots which run on massive data-centers, embodied systems must carry their brain with them. This creates severe constraints for such systems

Performance: As noted in deloitte's report on 2026 tech trends Cost of running these embodies systems in higher than the cost to build the hardware

Power: There can not carry power-stations on their bodies that can enable a trillion parameter LLM

Latency: A robot must avoid colliding with the bird in a split second, there is no time to send data to cloud and wait for instructions to follow. So it will need decentralized inferencing.