MoonglowRun local Jupyter notebooks on your cloud compute

Moonglow - Effortless GPU Integration for Jupyter Notebooks

Run Your Local Notebooks on Remote GPUs with Ease

Key Features

• Switch from CPU to GPU in Seconds: Seamlessly transition your Python runtime from CPU to GPU.
• No DevOps Hassles: Avoid managing SSH keys, package installations, and other DevOps headaches.
• Wide GPU Selection: Choose from a variety of GPUs including A40s, A100s, H100s, and more.
• IDE Integration: Manage your GPUs directly within your IDE. Start, stop, and restart without leaving your workspace.

Use Cases

• Machine Learning Training: Train models like CIFAR-10 ResNet from scratch in under 1:15 minutes.
• Data Science Projects: Accelerate your data processing and analysis tasks.
• Research and Development: Utilize high-performance GPUs for intensive computational research.

Pricing

Personal

• Features:
  • Connect to your Runpod
  • Up to 3 notebooks at a time
  • Integrates with file storage
• Cost: Get started for free!

Enterprise

• Features:
  • Connect to any infrastructure
  • Unlimited notebooks
  • Built for sharing within teams
• Cost: Book a demo!

Teams

We are Leila and Trevor! Leila has built high-performance infrastructure at Jane Street, while Trevor has conducted ML research at Hazy Research Lab, Stanford. Our mission is to scale your machine learning projects effortlessly with Moonglow.

Scale your ML today with Moonglow. Start now for free!