AWS will begin ramping its Trainium 3 machine learning chips in the second half of 2026, driving increased orders for Taiwanese foundries and assembly partners. The next-gen custom silicon program is expected to enhance AWS AI performance and could bolster AWS profit margins through reduced third-party GPU dependencies.
AWS confirmed that production of its third-generation Trainium chips will begin ramping in the second half of 2026. The custom silicon is designed to accelerate machine learning workloads and reduce reliance on external GPUs. AWS aims to expand its in-house AI hardware offerings to support SageMaker training and other high-performance services.
The ramp is expected to generate hundreds of millions of dollars in orders for Taiwanese foundries and OSAT partners. Capacity expansion will focus on leading semiconductor manufacturers building wafers and packaging. Early production runs will validate yield improvements ahead of full-scale deployment.
By migrating AI workloads to proprietary chips, AWS could cut unit costs and improve profit margins by mid-2027. This vertical integration enhances AWS's competitive position versus cloud rivals that rely solely on standard GPU providers. Investors will monitor Trainium 3 adoption as a key driver of AWS AI revenue growth and margin expansion.
Digitimes
