Aehr Test Systems projects $60-80M in bookings for AI wafer-level and packaged-part burn-in equipment during the second half of fiscal 2026, underscoring global semiconductor industry momentum as hyperscalers and cloud providers prepare data centers for next-generation AI workloads. The California-based company received a major forecast from its lead Sonoma production customer, with shipments beginning Q1 FY2027 starting May 30, 2026.
The testing equipment demand surge aligns with NVIDIA's Rubin Ultra and B200-class GPU platforms moving toward volume production for deployment across North American, European, and Asia-Pacific data centers. These chips require advanced 3D-IC packaging and 4nm PCIe 6 interconnects to deliver computational performance for large language model training and inference at enterprise scale.
Aehr's Silicon Valley test lab has secured multiple orders for high-power Sonoma configurations handling up to 2,000 watts per device. The company claims production capacity exceeding 20 systems monthly for both wafer-level and packaged-part testing. Partnership expansion with ISE Labs and Taiwan-based ASE targets testing services for top-tier semiconductor customers across HPC and AI applications globally.
Enterprise AI infrastructure is scaling through varied deployment models worldwide. Corvex confidential computing platforms address data sovereignty and security requirements particularly critical in European and Asia-Pacific markets. V Gallant's Compute-X and VCI Global's Intelli-X offerings provide flexible infrastructure delivery for organizations scaling AI capabilities without massive capital commitments.
Credo Technology Group, supplying high-speed interconnect solutions for AI data centers globally, expects GAAP gross margins between 63.8% and 65.8% for Q3 FY2026. The margin profile reflects strong demand for connectivity solutions linking GPU clusters in distributed AI training environments across continents.
Edge AI infrastructure is advancing with Ensurge Micropower's solid-state microbattery technology targeting AI-enabled edge devices requiring compact power solutions for distributed inference applications.
Aehr reported Q2 FY2026 revenue of $9.9M, down 27% year-over-year, with non-GAAP net loss of $1.3M. The company raised $10M through its ATM program, bringing cash position to $31M. Effective backlog reached $18.3M including $6.5M in post-quarter bookings.