Moonglow

Moonglow

2024-08-03T07:01:00+00:00

Related Categories - Moonglow

Key Features of Moonglow

  • 1

    Switch from CPU to GPU in seconds

  • 2

    Pick a GPU

  • 3

    any GPU

  • 4

    Manage GPUs within your IDE


Target Users of Moonglow

  • 1

    Machine Learning Researchers

  • 2

    Data Scientists

  • 3

    AI/ML Engineers

  • 4

    Academic Researchers


Target User Scenes of Moonglow

  • 1

    As a Machine Learning Researcher, I want to seamlessly switch my local Jupyter notebooks to remote GPUs without managing SSH keys and environment configurations, so that I can scale up my experiments quickly and efficiently

  • 2

    As a Data Scientist, I want to have access to a variety of GPUs like A40s, A100s, and H100s within my IDE, so that I can choose the best GPU for my specific needs and manage them directly from my workspace

  • 3

    As an AI/ML Engineer, I want to integrate Moonglow with my preferred IDEs like VS Code and Cursor, so that I can manage my GPU resources and run my notebooks on different GPUs without leaving my development environment

  • 4

    As an Academic Researcher, I want to connect my notebooks to cloud providers like AWS, Azure, and GCP, so that I can leverage scalable and flexible computing resources for my research projects.