NVIDIA's Rubin Ultra chip roadmap targeting 2027 delivery and AMD's partnership with Meta are accelerating global competition for next-generation AI hardware. Chip testing firm Aehr Test Systems forecasts $60M to $80M in bookings for AI wafer-level and packaged-part burn-in testing.
Aehr Test received a large forecast from its lead Sonoma production customer, with shipments starting Q1 fiscal 2027 beginning May 30, 2026. The company recorded $5.5M in Sonoma system orders in Q3 to date, exceeding the entire Q2 total. New high-power Sonoma configurations handle up to 2,000 watts per device.
AMD's Meta partnership marks a shift in global AI chip deployment beyond NVIDIA's market dominance. Meta's adoption validates AMD's enterprise AI hardware strategy as hyperscalers worldwide diversify suppliers to reduce single-vendor risk.
The performance race drives infrastructure demands globally. Policy requirements now force major tech companies to secure dedicated power infrastructure for AI chip deployments. Aehr's partnerships with ISE Labs and ASE target wafer-level and packaged-part testing for top-tier semiconductor customers in high-performance computing and AI applications.
Strategic reshoring of semiconductor manufacturing accompanies the international chip race. Apple and TSMC committed major investments to US semiconductor production, restructuring global supply chains amid geopolitical tensions. TSMC's US facilities will produce advanced nodes required for next-generation AI chips, reducing reliance on Asian manufacturing hubs.
Aehr reported Q2 fiscal 2026 revenue of $9.9M, down 27% year-over-year, but maintains $31M cash after raising $10M through its ATM program. Production capacity exceeds 20 systems per month for wafer and package-level testing.
Credo Technology Group expects GAAP gross margin between 63.8% and 65.8% for Q3 fiscal 2026, reflecting strong economics in AI semiconductor infrastructure. The margin guidance signals healthy global demand for connectivity solutions supporting AI chip ecosystems.
Ensurge Micropower positions advanced microbattery technology for AI-enabled devices, addressing power delivery challenges as chip performance increases. The convergence of higher-performance chips and edge AI deployment creates demand for specialized power solutions across international markets.
The combination of accelerating chip roadmaps, global supply chain restructuring, and infrastructure requirements reshapes competitive dynamics across the worldwide AI hardware stack through 2027.