NVIDIA details efficient MoE training for biological foundation models
NVIDIA published a developer blog explaining how mixture-of-experts (MoE) architectures can train biological foundation models more efficiently than dense transformers. In dense models every token passes through every layer, so adding capabilities raises training and inference computation. MoE uses many expert subnetworks but activates only a small subset per token, reducing compute while scaling.
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