/tag/deep-learning
Ollama and UVA HPC
Ollama is the easiest way to get up and running with large language models such
as gpt-oss, Gemma 3, Qwen3 and more.
Software Category: data
For detailed information, visit the Ollama website.
Available Versions To find the available versions and learn how to load them, run:
module spider ollama The output of the command shows the available Ollama module versions.
For detailed information about a particular Ollama module, including how to load the module, run the module spider command with the module’s full version label. For example:
module spider ollama/0.13.1 ModuleVersion Module Load Command ollama0.13.1 module load apptainer/1.3.4 ollama/0.13.1 Ollama Open OnDemand Interactive App Request a session To get to the interactive app:
GPU-enabled Software and UVA HPC
Please note that certain modules can only run on specific GPU types. This will be displayed in a message upon loading the module.
Certain software applications may also able to take advantage of the advanced capabilities provided by the NVIDIA DGX BasePOD™.
Learn More Module Category Description alphafold bio gpu Open source code for AlphaFold amber chem gpu Amber (originally Assisted Model Building with Energy Refinement) is software for performing molecular dynamics and structure prediction. cellpose bio gpu a generalist algorithm for cellular segmentation clara-parabricks bio gpu NVIDIA Parabricks is the only GPU-accelerated computational genomics toolkit that delivers fast and accurate analysis for sequencing centers, clinical teams, genomics researchers, and next-generation sequencing instrument developers.
PyTorch and UVA HPC
Description PyTorch is a deep learning framework that puts Python first. It provides Tensors and Dynamic neural networks in Python with strong GPU acceleration.
Software Category: data
For detailed information, visit the PyTorch website.
Available Versions The current installation of PyTorch incorporates the most popular packages. To find the available versions and learn how to load them, run:
module spider pytorch The output of the command shows the available PyTorch module versions.
For detailed information about a particular PyTorch module, including how to load the module, run the module spider command with the module’s full version label. For example:
module spider pytorch/.
