Growing interest in physical AI

According to DIGITIMES, tech giants are doubling down on physical artificial intelligence in the age of generative AI. This signifies a renewed focus on dedicated hardware, on-premise infrastructure, and hybrid solutions to manage the increasing computational and latency requirements.

This shift is driven by the need to optimize costs, improve performance, and ensure data sovereignty. Companies are carefully evaluating the trade-offs between cloud solutions and on-premise deployments, considering factors such as TCO (Total Cost of Ownership), regulatory compliance, and security.

For those evaluating on-premise deployments, there are significant trade-offs to consider. AI-RADAR offers analytical frameworks on /llm-onpremise to evaluate these aspects in detail.