34 Amazon Research Awards Build on Trainium recipients announced

Summary

Amazon announced 34 recipients from 30 universities for the Fall 2025 Build on Trainium: Responsible AI call for proposals. Part of a 110 million dollar credit initiative, the program funds academic research across new model architectures, machine learning libraries, optimizations, and distributed systems running on AWS Trainium hardware. The funded projects center on five key areas: AI safety and alignment, multilingual language models, representation engineering, sustainability with small language models, and deep learning for synthetic data generation. Awardees receive AWS Promotional Credits, access to more than 700 Amazon public datasets, assigned Amazon research contacts, and dedicated technical training resources. Highlighted efforts include parallelization strategies for trillion-parameter mixture-of-experts models scaling across 1,024 Trainium chips and inference optimization frameworks designed to enhance token efficiency.

Context

Academic researchers require scalable, high-performance compute resources and purpose-built hardware to advance Responsible AI without being restricted by compute budgets.

Approach / What changed

Amazon provided AWS Promotional Credits, access to over 700 public datasets, assigned research contacts, and hands-on training on AWS Trainium infrastructure to 34 academic awardees.

Takeaways

• The Build on Trainium initiative is a 110 million dollar credit program funding academic research on AWS Trainium AI chips.
• The Fall 2025 Responsible AI award cycle prioritized AI safety and alignment, multilingual models, representation engineering, sustainability, and synthetic data generation.
• Funded projects include testing topology-aware parallelization for mixture-of-experts models up to one trillion parameters on 1,024 Trainium chips.

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