Understanding Large Language Models Series

Mixture of Experts (MoE): How AI Grows Without Exploding Compute

by Nat Currier 14 min read
AILarge Language ModelsMachine LearningModel Architecture
SERIES

Understanding Large Language Models

Part 24 of 42
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Excerpt

Discover how Mixture of Experts became the secret to trillion-parameter models in 2025, enabling massive AI scaling while using only a fraction of the compute through revolutionary sparse activation.

Cite This

Nat Currier. "Mixture of Experts (MoE): How AI Grows Without Exploding Compute." nat.io, 2025-09-07. https://nat.io/blog/mixture-of-experts-moe-ai-compute-scaling

Mixture of Experts (MoE) enables trillion-parameter AI models like DeepSeek-R1 and Llama 4 to scale efficiently by activating only a fraction of parameters per inference, reducing compute by over 94% while maintaining...

https://nat.io/blog/mixture-of-experts-moe-ai-compute-scaling

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Key stat: 14 minute read

SERIES

Understanding Large Language Models

Part 24 of 42
Previous Reasoning Capabilities in LLMs: Promise, Limitations, and Future Directions
Next The Illusion of Thinking in Large Language Models