# Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs

> **Publication**: aitalky (Independent AI Journalism)
> **Canonical Citation URL**: https://aitalky.vercel.app/news/introducing-olmo-core-3-open-scalable-training-infrastructure-for-large-moes
> **Original Source**: [Hugging Face](https://huggingface.co/blog/allenai/olmocore3)
> **Author**: Hugging Face Staff (undefined)
> **Published Date**: Thursday, October 1, 2026
> **Category**: PRODUCTS
> **Tags**: AI, Hugging Face, products

## Executive Summary
Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs



## Full Coverage
Back to Articles a]:hidden"> Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs Enterprise Article Published October 1, 2026 Upvote 21 +15 Kyle Wiggers Ai2Comms Follow allenai :last-child]:mb-0"> Building a training stack around how MoEs actually work Scaling and optimizing MoE training Scaling into the trillion-parameter range Built for the next generation of Olmo, open for everyone 📄 Tech Report | 💻 Code | 🧩 Interactive demo

Today we're releasing Olmo-core 3 , a significant upgrade to our framework for developing large language models featuring a redesigned open mixture-of-experts (MoE) training system

Olmo-core 3 is designed to scale MoE training into the trillion-parameter range while preserving computational efficiency. It's one of the core systems behind the next generation of Olmo, and part of our ongoing commitment to open up the tools and training infrastructure behind each new model

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