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Friday, 2 October 2026

Ai2 releases Olmo-core 3 to make developing large mixture-of-experts LLMs more efficient

SiliconANGLE 1 week ago 17 ● 3 sources

Allen Institute for AI released Olmo-core 3, a development framework intended to make mixture-of-experts large language model training more efficient. It reported 52,000 tokens per second on Nvidia B3000 GPUs for a 47-billion-parameter model, about 2.7× higher than Megatron-core at roughly 19,400 tokens per second. The update supports growing expert pools from 8 to 128 while selecting 4 experts per token, enabling scaling to over 1 trillion parameters with lower memory and compute overhead.

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AI Infrastructure Open Source Model Training Mixture-of-Experts

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