# AWS Trainium Frontier competition: Co-design models and kernels on purpose-built AI chips

DevFeed: [AWS Trainium Frontier competition: Co-design models and kernels on purpose-built AI chips](<https://devfeed.tech/articles/aws-trainium-frontier-competition-co-design-models-and-kernels-on-purpose-built-ai-chips-7612.md>)

Original publisher: [Read original article](<https://www.amazon.science/news/aws-trainium-frontier-competition-co-design-models-and-kernels-on-purpose-built-ai-chips>)

Author: Louise Ping; John Gray; Emily Webber; Josh Longenecker

Published: 2026-08-10T20:23:04Z

Content type: article

Language: en

Sources: [Amazon Science homepage](<https://devfeed.tech/sources/amazon-science-homepage.md>)

Topics: [AI Chat](<https://devfeed.tech/topics/ai-chat.md>)

Tags: [aws-trainium](<https://devfeed.tech/tags/aws-trainium.md>), [chip-design](<https://devfeed.tech/tags/chip-design.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [kernels](<https://devfeed.tech/tags/kernels.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [model-architecture](<https://devfeed.tech/tags/model-architecture.md>), [neurips](<https://devfeed.tech/tags/neurips.md>), [performance](<https://devfeed.tech/tags/performance.md>), [training](<https://devfeed.tech/tags/training.md>)

## AI overview

AWS Trainium Frontier is a competition for training language models from scratch on Trainium while co-designing architectures, optimizers, training loops, and optional custom kernels under fixed compute and time budgets.

## Source excerpt

A competition with a finalist ceremony during NeurIPS 2026, challenging researchers to train language models from scratch on Trainium, exploring what optimal architectures look like when the hardware changes.