Nodus

Run machine learning training jobs and AI agent workloads on cloud GPUs

Pricing model

Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Nodus to run machine learning training jobs, execute AI agents, and serve model inference without managing complex cloud infrastructure. The system automatically matches your code requirements with available GPU or CPU compute capacity. If an execution gets interrupted, it restores your progress from saved checkpoints on replacement hardware. You can maintain persistent project files between sessions, connect your development tools like VS Code and Jupyter notebooks, test autonomous agents inside isolated sandboxes, and monitor spending across setup, runtime, and storage.

What Nodus does

Train machine learning models using custom container imagesRecover interrupted training runs from saved checkpointsConnect to remote GPU instances via SSH or Jupyter notebooksDeploy OpenAI-compatible inference endpoints for model servingRun AI agent workflows in isolated execution sandboxesMonitor GPU memory and execution logs during trainingCompare compute costs across GPU and CPU configurationsMatches code requirements with compatible GPU and CPU capacityRestores interrupted runs automatically from saved checkpointsMaintains persistent project files across compute sessionsProvides isolated sandbox environments to execute AI agents and evalsEnables interactive development via VS Code, Jupyter, and SSHOffers an OpenAI-compatible API for on-demand model inferenceTracks workload costs across setup, runtime, and checkpoint recovery