Robotics and AI: a new era for infrastructure

The adoption of AI and robotics systems is rapidly moving from the lab to real-world settings such as factories, warehouses, and public spaces. This transition implies that errors are no longer just theoretical, but have tangible consequences.

Robotics is forcing a fundamental rethink of AI compute, data management, and systems design. Large-scale simulation has become an integral part of real-world operations, requiring more robust and scalable infrastructures.

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