Nodus Compute is a cloud compute platform for running AI workloads such as model training, fine-tuning, and experiments. It matches workloads with suitable GPU compute based on resource requirements, execution settings, and budget limits, helping teams manage infrastructure without selecting machines manually.

Users can launch jobs from GitHub repositories, uploaded scripts, project archives, or custom containers, and connect training data from datasets, file uploads, or direct download links. The platform supports command configuration, custom software environments, GPU memory settings, checkpoint storage, and downloadable result files. A web console, Python SDK, and CLI provide tools for submitting workloads, monitoring status, viewing logs and events, tracking spend, and retrieving outputs. Nodus Compute can also resume interrupted jobs from compatible checkpoints or rerun unfinished work, while team features support shared access, API keys, webhooks, GitHub connections, activity tracking, and usage oversight.

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