GlobalFoundries Selects Redpanda to Build Real-Time Data Layer for AI Agents

GlobalFoundries (GF), a semiconductor manufacturer, has selected Redpanda to build a unified real-time data platform across its global manufacturing operations, with the companies also working to deploy AI agents across the business.

The collaboration connects manufacturing, engineering and business systems through Redpanda's data platform. GF said the platform replaces legacy change-data-capture infrastructure and streams equipment, process and scientific data from its manufacturing operations.

The deployment comes as GF expands its use of AI and digital manufacturing technologies. Its digital manufacturing strategy includes AI-powered solutions across manufacturing sites, while its Singapore operations have used artificial intelligence and machine learning as part of broader Industry 4.0 initiatives.

The company has also been working with Siemens on AI-driven manufacturing, including predictive maintenance, energy management and automation. The push places GF alongside other semiconductor manufacturers applying AI directly to production environments, including efforts covered in AI manufacturing and the use of AI in semiconductor testing.

GF Puts Real-Time Data Behind Its AI Agents

Redpanda's platform brings together data from equipment, process control, engineering, supply chain and manufacturing systems into a single environment. GF said this gives it a consistent real-time view of operations and supports process monitoring, decision-making and the scaling of digital capabilities across its manufacturing footprint.

Tier-0, mission-critical systems are already running in production, according to the announcement. GF operates manufacturing facilities across the U.S., Europe and Asia, making the data infrastructure relevant to operations distributed across multiple regions.

The emphasis on real-time data also reflects a broader development in semiconductor manufacturing, where AI systems increasingly depend on production data generated during ongoing operations. Advantest's work with NVIDIA on real-time AI for semiconductor testing provides another example of AI being connected directly to semiconductor production workflows.

Vishal Mehra, SVP and Chief Information Officer at GF, said the company needed trusted, real-time access to operational data as manufacturing operations became more complex. He said the Redpanda collaboration was intended to improve operational visibility and accelerate decision-making at global scale.

GF is also using Redpanda's Agentic Data Plane to develop AI agents for automation and insights across IT, procurement and other business functions. The company plans to expand adoption as it integrates real-time insights into day-to-day processes and workflows.

AI Agents Extend Beyond Manufacturing Systems

The agent deployment adds another layer to GF's existing digital manufacturing investments. Instead of limiting the infrastructure to factory data and analytics, the company plans to connect real-time information with agents working across business functions.

That approach makes the underlying data infrastructure important to how those agents operate. Redpanda said its Agentic Data Plane is designed to provide governed access to real-time enterprise data while incorporating controls for identity, permissions and auditing.

The model is consistent with the wider enterprise push to connect agents with operational data and workflows. Recent enterprise AI deployments have increasingly focused on the infrastructure required to make agents useful inside business processes, rather than treating agents as standalone software applications. Enterprise AI infrastructure developments have similarly focused on connecting AI systems with enterprise data and operations.

For GF, the immediate deployment is centered on replacing legacy data-capture infrastructure and establishing a real-time data layer across its manufacturing network. The company is then using that foundation to expand AI agent deployments into IT, procurement and other functions.

The announcement does not disclose the financial terms of the collaboration or a timeline for full deployment across GF's global operations. It says the companies plan to expand adoption over time.