Efficient MoE Training for Biological Foundation Models

NVIDIA BioNeMo addresses the challenge of scaling dense transformer architectures for biological foundation models.

According to NVIDIA BioNeMo, scaling dense transformer architectures becomes increasingly expensive as language models grow.

This is because in a dense transformer, every token passes through every layer, resulting in increased computation for both training and inference.

NVIDIA BioNeMo aims to address this challenge by developing efficient methods for training biological foundation models.