Evo 2, a large foundation model understanding the genetic code for all life domains, is now available to global developers on NVIDIA BioNeMo.
Trained on a dataset of 9 trillion nucleotides, Evo 2 aids in biomolecular research for protein form prediction, molecule identification, and gene mutation analysis.
Evo 2 opens possibilities in healthcare and environmental science by advancing generative genomics research.
Developers can fine-tune Evo 2 using the open-source NVIDIA BioNeMo Framework to create biological sequences.
Arc Institute collaborates with NVIDIA to offer advanced computing tools for complex scientific research projects.
The collaboration aims to accelerate biological design processes, making it more accessible and efficient for researchers.
Arc Institute provides long-term funding and resources for researchers to focus on innovative scientific research.
NVIDIA's contribution to the Evo 2 project includes providing researchers access to NVIDIA H100 GPUs through the DGX Cloud platform.
Evo 2 has applications in various scientific fields such as healthcare, agriculture, and materials science, providing insights into DNA, RNA, and proteins.
The novel model architecture of Evo 2 enables the processing of lengthy genetic sequences, contributing to a deeper understanding of genetic connections.