Skip to content

Introduction to AI on HiPerGator

Introduction

If you are a new HiPerGator user make sure that you first read the general Getting Started documentation to get yourself familiar with HiPerGator and take the New user training with step-by-step instructions on how to use HiPerGator.

Once you understand how to use HiPerGator follow with the AI Training, which provides learning materials and training videos on various AI topics. Since many people work with AI models using Jupyter notebooks check out Jupyter Notebook documentation.

AI Software

General AI Frameworks

AI frameworks provide building blocks for designing and training machine learning and deep learning models. The following AI frameworks are available on HiPerGator:

  • PyTorch: A deep learning framework developed by Facebook AI Research Lab, supporting Python, Java, and C++. It allows training on both GPU and CPUs, as well as distributed training and multi-GPU models.

  • TensorFlow: An open-source AI framework developed by the Google Brain team. Keras is a neural network library that runs on top of TensorFlow, serving as a high-level interface in TensorFlow 2.0. TensorFlow supports both GPU and CPUs, along with multi-GPU and distributed training.

  • Tensorboard: A visualization tool for monitoring neural network training.

  • Sci-kit learn: A Python library for machine learning and statistical modeling, available in many Python modules on HiPerGator.

  • Matlab: Offers toolboxes for machine learning, deep learning, computer vision, and automatic driving, supported on both CPUs and GPUs.

  • RAPIDS AI: A suite of CUDA-enabled open-source software libraries by NVIDIA, enabling multi-node, multi-GPU deployments for faster processing of large datasets.

  • Fastai: Simplifies training fast and accurate neural nets using best practices and can be used via Google Colab.

  • Triton: Nvidia Triton Inference Server provides a cloud and edge inferencing solution optimized for both CPUs and GPUs. Triton supports an HTTP/REST and GRPC protocol that allows remote clients to request inferencing for any model being managed by the server.

AI Software for Specific Domains

HiPerGator offers comprehensive software for big data and AI research:

  • Data Science Platform: Combines mathematics, programming, analytics, AI, and machine learning to uncover insights from large data sets.

  • Natural Language Processing: Includes tools such as Nemo, BioNemo, Llama2, Llama3, Mistral AI, and Gemma LLMs, helping computers interpret human language for applications like chatbots and translation.

  • Computer Vision: Tools for image and video processing on HiPerGator.

  • Healthcare and Life Sciences: Software for medical image analysis, disease detection, and genomic data interpretation, including AlphaFold, BioNemo, Clara Parabricks, and MONAI.

  • Simulation and Modeling: HiPerGator supports advanced simulation tools, such as NVIDIA Modulus and Omniverse, for real-world scenario predictions.

    1. Modulus: A neural network framework for building high-fidelity, parameterized surrogate models blending physics with data.

    2. Omniverse: A platform for real-time photorealistic simulation, facilitating collaboration in simulated environments.

AI Reference Datasets

A variety of reference machine learning and AI datasets are located in /data/ai/ref-data. Browse the catalog of all available AI datasets to learn more.

AI Examples

A suite of short examples are provided on using the software stack on HiPerGator to do different tasks in imaging and NLP, located in /data/ai/examples. Browse the catalog of all available AI examples to learn more.

AI Benchmarks and Models

Several commonly used benchmarks and models for NLP are provided on HiPerGator at /data/ai/benchmarks and /data/ai/models. Browse the catalog of all available AI models to learn more.

AI Zoom Support

You can schedule a Zoom call with an AI support staff member. For details, see Remote Support.