Tutorial
  • Research Skill Bootcamp
    • Overview
    • Introduction to Research
    • Literature Review
    • Latex, Overleaf and Template
    • Latex, use TikZ to draw diagram
    • Introduction to Pytorch
    • Introduction to Neural Networks, MLP, CNN, RNN, Transformer
    • Problem Formulation and Experiment Design
    • Before Vision Becomes Reality
  • AI Engineer Bootcamp
    • Poster
    • Introduction
    • Development Environment Setup
    • Docker
    • Git, GitHub and Agile
    • Introduction to RAG
    • Full Stack Intro, Demo and Setup
    • Python Package Development
    • Databases
    • React
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    • GraphQL and Hasura
    • Authentication and Authorization
    • Deploy and CI/CD
    • Project Demo
    • External Resources
    • Knowledge Graph and GraphRAG
  • Dev Setup
    • How to install Docker
    • Docker 101
  • GPU Resources
    • HPC 101
    • Kaya
      • Demo project
      • Interactively use Kaya with JetBrains Gateway
      • Battle notes
      • Run experiment on Multiple GPU in Kaya
    • DUG
      • DUG HPC FastX connection Guide for Linux
  • Background Knowledge
    • Public Available LLM
      • Self-Hosted LLM
      • Quantization demo
      • Public Open LLM API
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GPU Resources

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Last updated 2 months ago

This is a documentation places for us to share the knowledge about the HPC resources including GPU and CPU for the researchers.

If you think some content can be improved or you want to contribute some contents, feel free to contact [email protected]

Or drop a message in LinkedIn:

The content will under active development based on frequent questions and answers, so you can keep an eye on it.

Slides

This is a slide regarding the Kaya Introduction.

https://www.linkedin.com/in/pascalsun23/
4MB
KAIA_Introduction.pdf
pdf