The Engaging cluster is open to everyone on campus. Further information and support is available from orcd-help-engaging@mit.edu.
Features
- Compute power: 80,000 x86 CPU cores and 300 GPU cards ranging from K80 generation to recent Voltas. 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://engaging-ood.mit.edu.
- Software:
- A wide range of standard software is available and the Docker compatible 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.
The cluster has a large shared file system for working datasets.