GlobalFoundries Launches AI-Powered Facilities Control Centre in Singapore
GlobalFoundries has opened an AI-enabled facilities control centre in Singapore, introducing a centralised approach to monitoring semiconductor manufacturing infrastructure. Developed in partnership with Siemens, the Advanced Facilities Control Centre (AFCC) combines facilities data, operational monitoring and predictive maintenance tools to help engineers identify equipment issues earlier and respond more quickly.
The launch marks the first deployment of a system designed to connect facilities operations across GlobalFoundries’ global manufacturing network. The company plans to begin with its Singapore campus before expanding the approach across its wider operations.
GlobalFoundries’ AI Facilities Control Centre Brings Five Centres Together
The first phase will bring five fab-specific control centres at GlobalFoundries’ Singapore campus into one command centre. The system combines facilities data and operational metrics with monitoring and visualisation tools, giving engineering teams a more consolidated view of equipment conditions and infrastructure performance.
Its AI-based capabilities include predictive maintenance, which is intended to help teams identify emerging problems, investigate root causes and prioritise responses. Continuous equipment-health monitoring could also help engineers detect potential faults before they lead to unplanned downtime.
GlobalFoundries has not published quantified results showing how much the new centre has reduced downtime or improved manufacturing performance. The benefits described in the announcement are the intended outcomes of the deployment rather than independently measured results.
Autonomous Robots Add Real-Time Facility Monitoring
The control centre also receives information from autonomous robots that conduct routine patrols and visual inspections around the semiconductor facility and campus. These robots use technologies including thermal imaging, gas detection and vibration and acoustic sensing to identify potential anomalies.
The robots transmit real-time data to the AFCC for analysis, linking observations from the factory floor with centralised monitoring. This combination of mobile sensing and facilities data is designed to help engineers detect issues sooner and make more informed decisions about intervention.
The approach also aims to allow facilities engineers to spend more time on diagnostics and problem-solving rather than routine monitoring. GlobalFoundries says the system is intended to support more efficient and resilient facilities operations.
Global Rollout Could Connect More Than One Million Data Points
GlobalFoundries said that, upon full global deployment, the capability will integrate more than one million critical data points from facilities equipment across its manufacturing network. Comparing operational metrics between sites could help the company identify performance differences and improve facilities management across locations.
The company also expects a centralised operating model to improve the use of space, equipment and workforce resources while reducing duplicated infrastructure, energy consumption and associated emissions. These are projected benefits; the announcement did not provide measured savings or a timeline for completing the global rollout.
Siemens Partnership Supports Semiconductor Manufacturing Innovation
The AFCC builds on the broader collaboration between GlobalFoundries and Siemens in industrial automation, digitalisation and AI-driven manufacturing. The companies are combining semiconductor manufacturing expertise with industrial software and automation capabilities to improve facilities monitoring and maintenance.
Singapore is the starting point for the new deployment, reflecting its role in GlobalFoundries’ manufacturing operations and digital manufacturing activities. The opening demonstrates how AI is being applied beyond chip design and computing products to the infrastructure required to manufacture semiconductors reliably.
As deployment progresses, equipment availability, fault-detection performance, response times and verified energy savings will provide clearer measures of the centre’s operational impact.
