When a chip plant is running close to full tilt, a failing chiller or a slow gas leak is not a maintenance ticket. It is lost output that cannot easily be made up elsewhere.
That is the problem GlobalFoundries (GF) says it is tackling in Singapore. The New York-headquartered contract chipmaker has opened an Advanced Facilities Control Centre (AFCC) at its Singapore site, developed with German industrial giant Siemens.
Also Read: The quiet layer keeping the chip boom alive
In a statement on Monday, GF said the centre is the first deployment of a system meant to integrate facilities operations and data across its global manufacturing network. Singapore is the first site to get it.
What the control room actually does
In a fab, “facilities” means the life-support systems around the production tools: power, cooling, ultrapure water, specialty gases and the filtered air that keeps cleanrooms clean. If any of them falters, the wafers inside are at risk.
In the first phase, five fab-specific control centres across GlobalFoundries’s Singapore campus will operate as a single command centre. The system pulls facilities data and operational metrics into one view, using monitoring and visualisation tools and AI features such as predictive maintenance, which flags equipment likely to fail before it does.
GF says this helps teams troubleshoot faster, find root causes sooner and decide which problems to fix first. Once fully deployed, the system can integrate more than one million critical data points from facilities equipment. Round-the-clock equipment health monitoring is meant to cut unplanned downtime, and metrics can be compared across sites to improve performance and sustainability.
The centre also gets mobile eyes. Autonomous robots carrying thermal imaging cameras, gas detectors and vibration and acoustic sensors will patrol the fab floor and campus, streaming real-time data back for analysis.
Why Singapore, and why now
Singapore is no side project for GlobalFoundries. The company opened a US$4 billion expansion fab there in September 2023, lifting its local capacity to about 1.5 million 300mm wafers a year. In November 2025, it acquired local silicon photonics foundry Advanced Micro Foundry (AMF). Silicon photonics uses light rather than electrical signals to move data between chips, a technology AI data centres increasingly need.
Timing matters here. DIGITIMES reported last month that GlobalFoundries’s Singapore capacity utilisation had moved above 90 per cent, and that equipment lead times were constraining its photonics expansion. When new tools take months to arrive, squeezing more uptime out of existing plant becomes the cheapest capacity a chipmaker can buy. It fits the wider pattern of AI’s bottleneck economy shifting from GPUs to the less glamorous parts of the supply chain.
Also Read: Applied’s US$500M Singapore expansion tightens ties with Southeast Asia’s chip push
Yew Kong Tan, GF’s senior vice president and general manager for Asia-Pacific manufacturing and the Singapore site, said the city-state was the natural starting point because of its digital foundation and government and ecosystem support. Cindy Koh, executive vice president of the Singapore Economic Development Board (EDB), framed the centre as an example of Singapore’s collaborative approach to manufacturing, particularly in advanced packaging and silicon photonics.
Those are precisely the niches Singapore has been branding hard. Last month, A*STAR and EDB launched SG Semiconductor as a national identity for the sector. Chipmakers across the region are also expanding their Asia Pacific footprint to meet AI demand.
The numbers the announcement leaves out
For all the talk of one million data points, GlobalFoundries’s statement contains few numbers that matter to an outsider. It gives no target for reduced downtime, no estimate of energy or emissions savings and no figure for what the centre cost.
The workforce question is also handled delicately. GF says centralisation will optimise the use of “space, equipment and staff” and cut duplicated infrastructure. Tan said the tools would free facilities engineers to focus on higher-value diagnostics and problem-solving. That may well be true. But when five control rooms become one, fewer people usually end up watching the screens, and GlobalFoundries has not said what happens to the rest.
There is a security trade-off too. Folding a campus’s critical infrastructure data and robot feeds into a single command centre makes operations easier to see. It also gives attackers one high-value target. Chip suppliers in the region are already under rising pressure to prove cyber resilience before customers will sign.
Then there is sustainability. Fabs are notoriously water- and energy-hungry, so lower energy use and emissions is a welcome promise. Without a baseline or a target, it is hard to hold GF to it.
Pradip Singh, GF’s chief manufacturing officer, called reliable facilities infrastructure foundational to chipmaking and described the centre as a step towards a more connected, intelligent manufacturing network.
A crowded race to run the smart fab
GlobalFoundries is hardly alone. TSMC has long promoted AI-driven “intelligent manufacturing” at its fabs. In Singapore itself, UMC runs its Fab12i and VisionPower Semiconductor Manufacturing Company, the Vanguard-NXP joint venture, is building a new plant. Each will be chasing the same uptime gains.
On the software side, the deal is a showcase for Siemens in a market where rivals are spending heavily. Schneider Electric agreed earlier this month to acquire industrial software firm PTC for about US$22.6 billion, and players such as Honeywell and ABB also sell plant monitoring and automation. A template that GF rolls out across its network would make Siemens a reference supplier for a global foundry.
There is room for smaller players too. Startups selling vision AI to reduce downtime or sensor analytics for industrial plants will see a big chipmaker validating the category.
What to watch
Singapore’s pitch to chipmakers was never cheap land or cheap labour. It is being the place where the next way of running a fab gets tried first. If the AFCC works, the model will travel to GF’s sites in New York, Vermont and Dresden, and Singapore will have exported a blueprint rather than just wafers.
Also Read: Synopsys, A*STAR team up to tackle AI chip packaging challenges
The real test comes in a year. If GF can then publish hard figures on downtime avoided and energy saved, the control room will have earned its billing. If it cannot, the robots patrolling the fab floor will look more like a photo opportunity than a productivity story.
The post GlobalFoundries turns its Singapore fabs into a test bed for an AI-run control room appeared first on e27.