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Moonglow

Moonglow is a tool that enables data scientists and machine learning researchers to run local Jupyter notebooks on remote cloud GPUs seamlessly within VSCode or Cursor. It abstracts the complexity of managing remote Jupyter servers by provisioning cloud machines and connecting them as if they were local kernels, simplifying the workflow of scaling ML experiments. Currently supporting Runpod and AWS with plans for GCP and Azure, Moonglow offers an easy way to use powerful GPU compute resources without managing server details. It provides a serverless experience that integrates with VSCode, featuring automatic kernel orchestration, cloud compute provisioning, and secure tunneling. The product targets researchers and developers who want efficient, scalable, and easy-to-manage remote compute for their notebooks.

platform:web platform:windows platform:linux platform:macos platform:vscode form:web-app form:plugin form:saas feature:remote-compute feature:cloud-integration feature:jupyter-integration feature:tunneling feature:gpu-acceleration feature:serverless target:developers target:researchers use-case:machine-learning use-case:data-science use-case:productivity

Features

Remote Compute
Cloud Integration
Jupyter Integration
Tunneling
Gpu Acceleration
Serverless

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Basic Info
  • Category Development
AI Curation
  • Curator Agent updated description, category, subcategory, and 3 more

    15 days ago