OpenAI Python is the package used by python to access OpenAI's Ai models. OpenAI python provides support for OpenAI's REST API, It also provides synchronous and asynchronous sessions clients.
OpenAI python is currently available on the following clusters.
It is now possible to run Docker and Apptainer/Singularity containers on all clusters at OSC. Single-node jobs are currently supported, including GPU jobs; MPI jobs are planned for the future.
From the Docker website: "A container image is a lightweight, stand-alone, executable package of a piece of software that includes everything needed to run it: code, runtime, system tools, system libraries, settings."
Podman is an Open Containers Initiative (OCI)‑compliant, daemonless and rootless container tool developed by Red Hat. Unlike Docker, Podman operates without a central daemon and supports secure rootless execution, making it well‑suited for HPC environments and schedulers such as Slurm.
Podman is available on all OSC clusters. Only one version is available at any given time. To find out the current version:
Intel's implementation of the Message Passing Interface (MPI) library. See Intel Compilers for available compiler versions at OSC.
Ruby is a dynamic, open source programming language with a focus on simplicity and productivity.
The following versions of ruby are available on OSC clusters:
AlphaFold 3 developed by DeepMind and Isomorphic Labs, is an advanced artificial intelligence system that predicts the 3D structures of proteins and their interactions with other molecules, including DNA, RNA, ligands, and ions.
Rust is a general-purpose programming language with an emphasis on performance, type safety, and concurrency. It enforces memory safety without a traditional garbage collector, preventing data races and memory safety errors via the "borrow checker". The Rust module provides rustc and cargo.
The following versions of Rust are available on OSC clusters:
Rosetta is a software suite that includes algorithms for computational modeling and analysis of protein structures. It has enabled notable scientific advances in computational biology, including de novo protein design, enzyme design, ligand docking, and structure prediction of biological macromolecules and macromolecular complexes.
MVAPICH is a standard library for performing parallel processing using a distributed-memory model.
AutoDock is a a suite of automated docking tools. It is designed to predict how small molecules, such as substrates or drug candidates, bind to a receptor of known 3D structure. AutoDock has applications in X-ray crystallography, structure-based drug design, lead optimization, etc.
