RESOURCES
Compute, Core Facilities & Funding at Discovery AI
At Duke University, we provide a powerful infrastructure for AI-driven biology: our teams operate on a cluster of ~100 NVIDIA H200 GPUs, enabling large-scale model training, protein design workflows and deep computational biology pipelines. In parallel, Duke’s high-performance computing ecosystem (including the Duke Compute Cluster) supports massive multi-core jobs, data-intensive analytics and Jupyter/RStudio interactive workflows.
We also invest in the next generation of AI-bio scientists through our Discovery AI Scholars program, which provides funding, mentorship and access to infrastructure for postdocs working at the interface of computation and the life sciences.
Core Networks & Resources
In addition to compute, our biological research is supported by Duke’s world-class core facility networks. These include (but are not limited to):
- Molecular Genomics Core — high-throughput sequencing and single-cell workflows.
- Microbiome Core Facility — microbial community profiling, metagenomics and immune-microbiome interfaces.
- Duke Proteomics and Metabolomics Core Facility— latest gen mass-spectrometry services for protein and metabolite characterization.
- Sequencing and Genomic Technologies Core Facility – a basic science research core affiliated with the Duke Cancer Institute (DCI) that offers a full range of state-of-the-art genomic services for Duke University, academic institutes, and non- and for-profit companies.
- CryoEM Resource — advanced ThermoFisher Krios Cryo-TEM that offers 300kV cryogenic platform designed for single particle analysis and tomography of protein complexes.
- Biological Imaging — Advanced Light Microscopy and Super-Resolution Imaging Core Facilities.
- Spatial Omics — advanced RNA spatial profiling services using 10x Genomics Xenium and Visium technologies.
- Quantum Computing — cutting-edge quantum research, education, and technology translation
Discovery AI s also building a dedicated protein/biologic-design & structure core, purpose-built for model-driven molecule engineering, structural analysis and integration with AI pipelines. Together, these resources enable seamless workflows from algorithm development → modelling → design → biological generation → analysis.
Whether your focus is deep learning, computational biology, synthetic biology, structural modelling or large-scale data generation, you’ll find in this ecosystem the tools, infrastructure and collaborative community to bring bold ideas to life.
Additional Resources & Partnerships
- AI at Duke: https://ai.duke.edu/
- Office of Information Technology AI Suite:https://oit.duke.edu/ai-suite/
- Department of Computer Science AI Faculty: https://cs.duke.edu/research/artificial-intelligence
- Office of Information Technology Research Computing: https://oit.duke.edu/service/research-computing/
- Duke Center for Computational and Digital Health Innovation: https://comphealth.duke.edu/
- Duke Center for Combinatorial Gene Regulation: https://biostat.duke.edu/research/center-combinatorial-gene-regulation
- Duke Biostatistics and Bioinformatics Division of Integrative Genomics: https://biostat.duke.edu/divisions/division-integrative-genomics/division-integrative-genomics
