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Meta Deploys ABB and Kinova Robots to Automate Physical Hardware Tasks in AI Data Centers

Meta has begun testing specialized robotic systems from industrial automation manufacturers to perform physical maintenance tasks across its AI data center fleet, according to internal reporting confirmed by current and former staff. The automation program, deployed across facilities including the company's Prometheus data center campus in New Albany, Ohio, uses robots to replace networking cables, power-cycle servers, reseat components, and perform routine hardware maintenance without human in

axc
axc
2 min
Meta Deploys ABB and Kinova Robots to Automate Physical Hardware Tasks in AI Data Centers

Meta has begun testing specialized robotic systems from industrial automation manufacturers to perform physical maintenance tasks across its AI data center fleet, according to internal reporting confirmed by current and former staff.

The automation program, deployed across facilities including the company's Prometheus data center campus in New Albany, Ohio, uses robots to replace networking cables, power-cycle servers, reseat components, and perform routine hardware maintenance without human intervention.

Multi-Vendor Robotics Architecture

Meta is evaluating multiple robotic platforms tailored to specific physical operations within high-density server racks:

  • ABB Autonomous Robotic Arms: At the Prometheus facility, four-wheeled mobile robots equipped with scissor-lift risers and six-axis arms manufactured by ABB are deployed to reseat server components and inspect hardware bays.
  • Kinova Gen3 Robotic Arms: Evaluated for automated power cycling, manipulating physical power switches and disconnecting/reconnecting electrical feeds to unresponsive compute nodes.
  • Network Cable Replacement Systems: Automated manipulators designed to plug, unplug, and reroute Ethernet and optical networking cables across rack switches.
  • Remote Actuators: Simple targeted mechanical actuators deployed to physically depress power and reset buttons on edge hardware and testing clusters upon remote human instruction.
Meta AI data center robotics automation architecture

Infrastructure Economics and Scaling Density

As capital expenditure on AI infrastructure accelerates, hyperscalers face escalating operational constraints in data center maintenance. Modern AI clusters demand dense power delivery, liquid cooling loops, and high-bandwidth interconnects that require continuous physical monitoring.

Robotic maintenance systems offer several distinct operational advantages:

  1. Environmental Flexibility: Automated manipulators can operate in unlit environments and endure higher operating temperatures than human technicians, reducing facility cooling and lighting overhead.
  2. Mean Time to Repair (MTTR): Automated bots operating continuously within hot aisles can detect and reseat faulted interconnects or power-cycle frozen nodes immediately upon telemetry alerts.
  3. Geographic Distribution: Deploying automated robotics enables hyperscalers to operate massive compute campuses in remote regions where skilled electrical and hardware technicians are scarce.

Meta previously deployed autonomous tuggers to transport heavy server racks and wheeled optical-scanning rovers for inventory reconciliation. Similar automation initiatives are underway across the cloud sector, with Microsoft, Google, and Amazon Web Services actively developing robotics for rack maintenance and component recycling.

Sources

AIMetaRoboticsInfrastructureData Centers
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