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OSC offers a one hour seminar targeting faculty who are unfamiliar with OSC to introduce the Center and the services we provide. The aim of this seminar is to provide a brief overview of OSC, what computational patterns are good candidates to consider using our services, and to point at entry points to begin. We can offer this seminar on your campus, with slight modifications to suit the audience, but offer a copy of the materials here for individuals to review.
Pitzer
IQmol is a molecular visualization tool used to view, analyze, and create high-quality 3D images of chemical systems, including small molecules and quantum chemistry results.
Availability and Restrictions
Versions
The following versions of IQmol are available on OSC clusters:
Ascend, Cardinal, Pitzer
Code Server provides a browser-based instance of Visual Studio Code, enabling users to write, edit, and run code directly on OSC cluster resources without local installation.
Cardinal, Pitzer
PyMOL is a molecular visualization tool used to view, analyze, and create high-quality 3D images of biological molecules like proteins and DNA.
Availability and Restrictions
Versions
The following versions of PyMOL are available on OSC clusters:
Ascend
ComfyUI is an open-source inference server and web frontend for generative AI models, with a focus on image, video and audio generation. Its node-based workflow offers highly flexible routing and model composition for complex generation pipelines.
The Ohio Supercomputer Center (OSC) provides access to a wide array of libraries, packages, and applications, many of which are available through the OSC OnDemand platform. For more information about OnDemand, including how to access and use it, visit the OSC OnDemand page.
Cardinal
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.
Availability and Restrictions
OpenAI python is currently available on the following clusters.
Ascend, Cardinal
vLLM is an open-source inference server for large language models (LLMs).
Ascend, Cardinal, Pitzer
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.
MLflow is a tool for managing the training and deployment of machine learning models.
