The Engaging cluster is open to everyone on campus. Further information and support is available from orcd-help-engaging@mit.edu.
Features
- Compute power: Around 80,000 x86 CPU cores and over 1000 GPU cards including A100, RTX6000, L40S, H100, and H200 GPUs. New, modern hardware is consistently being added to the Engaging cluster. Additional compute and storage resources can be purchased by PIs.
- Hardware access: Hardware access is through the Slurm resource scheduler that supports batch and interactive workloads and allows dedicated reservations.
- Portal: A standard, open-source, web-based portal supporting Jupyter notebooks, R studio, Mathematica and X graphics is available at https://orcd-ood.mit.edu.
- Software:
- A wide range of standard software is available and the Docker compatible Apptainer/Singularity container tool is supported.
- A range of PI group maintained custom software stacks are also available through the widely adopted environment modules toolkit.
- User-level tools like Anaconda for Python, R libraries and Julia packages are all supported.
- Documentation: In-depth documentation is provided at https://orcd-docs.mit.edu
The cluster has a large shared file system for working datasets.