This keynote presents Embedl’s strategy to solve the barriers to physical AI adoption. From Physical AI systems in vehicles and robots to large language models running on resource-constrained devices, the next wave of AI is moving out of the cloud and into the real world. But deploying AI in physical environments is very challenging. How do you run powerful generative models efficiently on specific hardware with full reproducibility and confidence?
