How GlobalFoundries Takes AI from Pilot to Global Scale
As AI moves from pilot projects to factory-wide deployment, GlobalFoundries’ VP of digital manufacturing explains in an exclusive interview how to decide what truly scales across global fabs.
By Pat Brans, EE Times | March 23, 2026
Artificial intelligence has been part of semiconductor manufacturing for years, often quietly embedded in niche tools or isolated analytics projects. What has changed recently is not the presence of AI but its scope and intent. As process complexity rises and margins for error shrink, AI is moving from isolated optimization projects to a unifying operational layer across fabs.
At the center of that shift is a new approach to manufacturing—one that blends process engineering, data science, and global operations. At GlobalFoundries, that approach is led by Sujieth Vaasan, VP of digital manufacturing. His job is not to deploy AI for its own sake but to decide where AI creates real manufacturing value, how it should be validated, and when it’s ready to scale across multiple fabs worldwide.
To read the full article, click here
Related Semiconductor IP
- MIL-STD-1553 Controller IP
- UFS 5.x Device IP
- UCIe 3.x Controller IP
- Ethernet 800G PCS IP
- CHI to UCIe Bridge IP
Related News
- SiMa.ai Secures Strategic Investment from Micron to Scale High-Performance, Power-Efficient Physical AI
- Joya Design Takes Neuromorphic Chip from Design to Device with First Innatera-Powered Consumer Audio Product at AWE China
- Siemens accelerates AI chip verification to trillion‑cycle scale with NVIDIA technology
- Cadence and Google Collaborate to Scale AI-Driven Chip Design with ChipStack AI Super Agent on Google Cloud
Latest News
- StarFive and LECARC Forge Partnership to Co-Develop RISC-V Server CPUs and Seize New Opportunities in the Agentic AI Era
- ASICLAND Selected as SK hynix’s Partner for Next-Gen eSSD Development, Establishing a ‘K-Semiconductor Win-Win’ Model
- onsemi to Acquire Synaptics to Enable the Next Generation of Intelligent Systems for Physical AI
- EdgeAI Licensed Andes Technology CPU IP to Power Next-Generation Edge AI Neuromorphic Solution
- Jim Keller: ‘AI Still Obeys the Old Laws of Compute’