In the news
Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs
Ai2 · Published · 3 min read
In 30 seconds
- What happened
- Ai2 released Olmo-core 3, an open training framework for mixture-of-experts models scaling to trillion parameters while maintaining computational efficiency.
- Why it matters
- Engineers building or training large language models need this when scaling MoE architectures across GPU clusters to reduce training costs and memory requirements.
- Watch out
- Benchmarks used random routing rather than actual trained models, and trillion-parameter tests were short-capacity demonstrations, not full training runs showing sustained performance.
- mixture-of-experts
- olmo
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