News: Suppliers
12 May 2026
Cohu receives orders for testing GaN power devices for AI data centers
Cohu Inc of San Diego, CA, USA (a supplier of equipment and services optimizing semiconductor manufacturing yield and productivity) says that a leading semiconductor manufacturer has placed multiple orders totaling about $5m for the DiamondX platform, delivering high-current capability, ultra-low resistance measurement accuracy and scalable multi-site throughput.
The systems will support development and manufacturing of next-generation gallium nitride (GaN) power devices used in AI data-center power architectures.
Cohu says that the orders expand its position in the fast-growing AI data-center market and reflects the ability of its product portfolio to meet the rising demand for higher-power and higher-efficiency power conversion as server power density and thermal constraints increase.
As AI accelerators and high-performance processing nodes drive higher power densities, data-center operators are re-architecting power delivery to improve efficiency. GaN power devices play a central role in this transition, and Cohu’s test platforms are designed to support the full lifecycle of GaN adoption, from early development through high-volume deployment.
Cohu says that its DiamondX test configurations for power devices enable high-precision characterization and production testing of GaN devices used across key AI data-center power stages, including AC–DC front-end conversion, high-voltage DC–DC modules and advanced point-of-load power management ICs.
“AI data centers are fundamentally changing the performance requirements for power semiconductors,” says president & CEO Luis Müller. “GaN devices offer compelling efficiency and power density advantages, and the DiamondX platform enables customers to test accurately and economically at scale as they move from device characterization to high-volume production,” he adds.
Cohu says that it continues to invest in advanced power test architectures, aligning its roadmap with customer needs for enabling the next wave of AI infrastructure as well as across the industrial and automotive electrification markets.
