#  High-performance computing (HPC) for regulated data 

 



#  High performance computing (HPC) for regulated data 

 Tools & services 

 [ Get started arrow\_circle\_right ](https://rc.harvard.edu/services/regulated-data-services-user-guide/) 

 

       ![People on their laptops at the Smith Campus Center.](/sites/g/files/omnuum10811/files/styles/hwp_21_9__1920x825/public/2025-05/091218_Smith_3_020.jpg?itok=svbFZsqB) 

 

 



 

 



 

##  Overview 

This service provides a scalable high-performance computing (HPC) environment built on AWS ParallelCluster, with an easy-to-use web interface through Open OnDemand. Jobs are managed with the SLURM scheduler.

Each Principal Investigator (PI) or project has its own dedicated partition that can be customized to meet specific needs, including the type of compute instances, number of cores, amount of memory, and use of GPUs.

Project data is stored on a secure, high performance file system that works like a standard POSIX system. Storage access is managed at the project level and backed by Amazon S3 for durability and reliability.  
  
[For Level 3 confidential data or below, refer to high-performance computing for non-regulated data](/high-performance-computing "High-performance computing (HPC)").



 

 ### Eligibility

**Faculty** and **Researchers** in Central Administration, FAS, College, DCE, GSAS, SEAS, GSD, GSE, HBS, HKS, HDS, HLS, HMS (Quad), HSDM (Quad), Radcliffe, SPH



 

 ### Data classification level

Approved for [Level 4 and 5 confidential data](https://privsec.harvard.edu/data-classification-table)



 

 ### Quick links

- [Browse help articles](https://rc.harvard.edu/services/regulated-data-services-user-guide/)