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AI Development Environment

MLX + Jupyter Lab

A complete machine learning development environment built around Apple's MLX framework. MLX is designed from the ground up for Apple Silicon — it uses Metal for GPU acceleration and shared memory for zero-copy data transfer. Jupyter Lab provides an interactive notebook interface.

Starter+ requiredfrom $149/mo
5 min provisioning
Made by Apple / Community
License: MIT

Technical Specifications

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Memory required16 GB
RuntimePython 3.12 + MLX + Jupyter Lab

Use Cases

  • Model fine-tuning on Apple Silicon
  • ML experiment tracking
  • Data exploration and visualization
  • Model evaluation
  • Research prototyping

What you get

  • MLX framework optimized for Apple Silicon
  • Jupyter Lab with ML extensions
  • Python 3.12 + numpy, pandas, torch, transformers
  • Persistent volume for code

Tags

DevMLXJupyterTraining

Ready to deploy MLX + Jupyter Lab?

Up and running in 5 minutes on dedicated Apple Silicon.