Moonglow

Moonglow AI - Run Local Jupyter Notebooks on Cloud GPUs

Introduction

Moonglow AI connects your local Jupyter notebooks to remote GPUs, allowing ML researchers to scale up experiments instantly. No more dealing with SSH or environment configurations. Move your notebook from CPU to GPU in under a minute.


Updated On:

Aug 3, 2024

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Moonglow's Overview

Moonglow simplifies the process of running local Jupyter notebooks on remote GPUs, allowing users to switch from CPU to GPU in seconds without the hassle of SSH management or package installations. With a variety of GPUs available, including A40s, A100s, and H100s, Moonglow caters to diverse computational needs. Users can manage their GPU resources directly within their IDE, making it easy to start, stop, or restart sessions. Moonglow is ideal for both personal and enterprise use, offering free trials and demo options for teams.


Moonglow's Features

  • Switch from CPU to GPU in seconds

  • Manage GPUs within your IDE

  • Connect to various GPU types (A40s, A100s, H100s)

  • Supports multiple notebooks

  • Integrates with file storage


Moonglow's Q&A


Moonglow's Pricing

Personal plan: Free, connect to Runpod, up to 3 notebooks. Enterprise plan: Custom pricing, connect to any infrastructure, unlimited notebooks.

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