YNHHS Hosted Resources

The YU-YNHHS Computational Health Platform (CHP), deployed at Yale New Haven Health System (YNHHS), is a high-performance computing cluster specifically designed to enhance healthcare practice and research through extensive clinical data analysis. This platform provides a secure, compliant, and collaborative environment tailored for interdisciplinary teams to analyze a diverse array of clinical data sourced from the YNHHS EHR system. CHP offers adaptable computing configurations that can be tailored to meet the complex computational demands of large-scale clinical and translational research, including the development of innovative medical AI applications.

The YU-YNHHS CHP platform is ideally suited for experienced users who analyze large volumes of data, including images, text, and structured clinical data. It features a container architecture supported by the locally-developed Kamino interface, which allows users to perform specialized analyses using advanced algorithms implemented in Python or other packages. Additionally, the recent integration of GPUs into the CHP enhances its capabilities, facilitating cutting-edge medical AI research and development.

• 50+ nodes with 1,728 CPUs
• 20 GPUs (4 V100, 8 A100, and 8 H100)
• Over 1PB storage with integrated environments

Researchers at the Yale School of Medicine can request access to data and CHP computing resources through the Helix Portal based on an approved IRB or Preparatory to Research (PTR) request. All members of the project team must be included on the IRB staff list of PTR ticket number. Upon approval, teams are granted a default computational quota, ensuring equitable access to computing power. Additional computing resources such as GPUs can be requested through the Kamino workspace.

Access to the CHP Enviornment is provisioned with YNHHS Research Basic Access (RBA). The RBA request must be submitted by a faculty member in the covered components of the YU-YNHHS Covered Entity.

After you are connected to the YNHHS network, navigate to the Kamino login page to access CHP your environments and resources.

The YNHHS Research Virtual Desktop Infrastructure (VDI) allows remote access to a YNHHS secure desktop from any device, anywhere without using the YNHHS VPN. The VDIs are ideal for working with small-to-medium sized data sets, accessing Epic charts and Slicer-Dicer, and accessing the YNHHS-YU Computational Health Platform web client (Jupyter Notebooks and command prompts). Current software in the VDI includes SQL Server Management Studio, R, Stata, SAS, Office365, and Epic.

Access to the VDI comes with YNHHS Research Basic Access (RBA). The request must be submitted by a faculty member in the covered components of the YU-YNHHS Covered Entity. Upon submission, you will receive a welcome package with instructions on how to log into the VDI.