The Chan Zuckerberg Biohub announced a major expansion that folds EvolutionaryScale’s AI-for-biology team into a new, large-scale initiative pairing frontier compute with experimental biology. The organization said it will scale compute to 10,000 GPUs by 2028 and integrate EvolutionaryScale’s researchers to accelerate AI-driven biological discovery. EvolutionaryScale’s co-founder Alex Rives was named head of science for the combined program; the move consolidates leading AI-for-biology talent under Biohub’s umbrella and signals a deepening of resource commitments to train foundation models on biological datasets. The deal follows prior investments in large AI models and instrumenting biology at scale. The integration aims to build datasets, imaging platforms and modelling innovations to speed drug discovery and disease research. Companies and academic groups watching the initiative will focus on data governance, compute access models, and potential commercial partnerships arising from the new technology stack.