As scientists probe for new insights about DNA, proteins and other building blocks of life, the NVIDIA BioNeMo framework — announced today at NVIDIA GTC — will accelerate their research.
NVIDIA BioNeMo is a framework for training and deploying large biomolecular language models at supercomputing scale — helping scientists better understand disease and find therapies for patients. The large language model (LLM) framework will support chemistry, protein, DNA and RNA data formats.
Just as AI is learning to understand human languages with LLMs, it’s also learning the languages of biology and chemistry. By making it easier to train massive neural networks on biomolecular data, NVIDIA BioNeMo helps researchers discover new patterns and insights in biological sequences — insights that researchers can connect to biological properties or functions, and even human health conditions.
NVIDIA BioNeMo provides a framework for scientists to train large-scale language models using bigger datasets, resulting in better-performing neural networks. The framework will be available in early access on NVIDIA NGC, a hub for GPU-optimized software.