Scalable Pretraining of Large Mixture of Experts Language Models on Aurora Super Computer

1. 1Developing an in-house training library like Optimus to support large model training techniques
2. 2Utilizing a large-scale computing infrastructure like Aurora with thousands of GPU tiles
3. 3Pretraining large language models like Mula-1B using the developed library and infrastructure
4. 4Scaling up the pretraining process to achieve efficient and effective training of LLMs

AI researchers and engineers working on large language models can benefit from this work, as it demonstrates the feasibility of pretraining LLMs on a large scale using a super computer like Aurora

💡 Scalable pretraining of large language models is feasible on a super computer like Aurora using a custom training library

💡 Pretraining large language models on Aurora super computer with 1000s of GPU tiles!